Data Scientist jobs in Gilroy, CA

ClinCapture - San Francisco, CA (Hybrid, 1 Day/Week Onsite) ClinCapture, Inc. is a digital health software company with offices in San Francisco, CA and Las Vegas, NV. ClinCapture is a leading provider of Electronic Data Capture (EDC) software, helping life sciences companies run clinical trials efficiently and compliantly. As we expand into professional services, we are seeking a part-time Biostatistician / Statistical Programmer to support CDISC dataset generation and regulatory submission deliverables. At ClinCapture, our mission is to build "software that saves lives." Our technology lowers the cost of clinical research by accelerating clinical study workflows, while providing a platform that protects patient privacy. ClinCapture advances the evaluation and development of new medicines, medical devices, and diagnostics which demonstrate promise for a wide range of medical conditions. Position Summary We are looking for a skilled Biostatistician / Statistical Programmer to join our team on a part-time basis (10-20 hours per week). This role will focus on building SDTM and ADaM datasets, preparing submission-ready packages, and generating outputs for clinical study reports and regulatory filings. The initial role is part-time with potential for full-time work as our services grow. This is a hybrid position based in San Francisco. The candidate must be available to work onsite 1 day per week for collaboration with the internal team. Responsibilities Build and validate CDISC SDTM and ADaM datasets for FDA/EMA regulatory submissions. Generate statistical outputs (Tables, Listings, Figures) for CSRs, interim analyses, and regulatory reporting. Prepare submission documentation, specifications, mapping documents, and define.xml. Collaborate with clinical data management and project teams to ensure data quality, compliance, and readiness. Perform statistical programming in SAS and/or R to support study deliverables. Ensure timely, high-quality deliverables that meet regulatory and sponsor expectations. Qualifications 3+ years of experience in clinical trials statistical programming. Strong expertise with CDISC SDTM and ADaM standards. Proficient in SAS (BASE, MACRO, STAT); R experience is a plus. Familiarity with FDA/EMA submission requirements and submission-ready datasets. Experience with clinical data, data management, and clinical coding is a plus. Excellent attention to detail and strong documentation skills. Strong communication and ability to work independently. Must be located in the San Francisco Bay Area and able to work onsite one day per week. Compensation $90-$100/hour DOE Part-time: 10-20 hours per week To Apply Please submit your resume and a brief cover letter describing your experience with SDTM/ADaM and clinical trial submissions.

Prompt Engineering Expertise: Demonstrated ability to craft and iterate prompts for LLMs and multimodal systems to achieve targeted behaviors or outputs. Data Analysis Skills: Experience using basic data science techniques (e.g., Python, SQL, pandas) to analyze model behavior or quality metrics. Quality Review Mindset: Familiarity with evaluating AI-generated outputs against quality standards (e.g., accuracy, safety, diversity, bias). Prior hands-on experience in analyzing the output of large generative models like GPT-4, Gemini, or Claude. Exposure to annotation workflows or evaluation pipelines in a research or production setting. Background in UX research, technical writing, or human-computer interaction is a plus. Experience working with model reviews is a bonus.

The Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. This individual will work on Aligns digital clinical database to develop and deliver data-driven insights, metrics, and recommendations to assist teams to drive the company's product development roadmap and transform the orthodontic world with the Invisalign product. * Apply advanced data analytics to derive insights from production data and clinical studies and contribute to product development projects * Work on full-stack data analysis: Defining problems, data collection through SQL queries, data cleaning & wrangling, exploratory & confirmatory analyses, data visualization and storytelling * Responsible for constructing technical hypotheses, performing statistical analyses, and interpreting analysis results to support data-driven decision making for product development * Identify key insights from analytical results, prepare well-documented reports/presentations and share with internal/external stakeholders * Work collaboratively and independently in the design, analysis, and interpretation of prospective and retrospective clinical studies * Participate in the review and update of bench-top testing best practice methodologies, including design of experiment, and statistical significance of results in support of product research team * Develop a comprehensive understanding of the Invisalign products and operational procedures * Provide product/clinical analytics expertise within the R&D group, including product engineering, materials, software, and clinical research teams * Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally * Work efficiently in a fast-paced environment to meet critical deadlines and priority changes

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview: We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud. Key Responsibilities: * Develop and deploy machine learning models for fraud detection and risk assessment. * Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data. * Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.). * Collaborate with engineering and business teams to integrate ML models into production systems. * Continuously monitor model performance and refine algorithms to improve accuracy. * Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies. * Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. * Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus). * Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.). * Experience with SQL and data manipulation/analysis in large datasets. * Strong problem-solving skills and patience for deep-dive data exploration. * Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus. * Excellent communication skills and ability to work in a collaborative environment. Nice to have * Familiarity with big data tools (Spark, Hadoop, Dask). * Knowledge of graph-based fraud detection techniques. * Experience with cloud platforms (AWS, GCP, Azure). PTO, Stock Option, Health Benefits

Our mission is to open the door to the life-changing impact of education and help make education accessible for all. As a nimble growth stage start-up, we've emerged as the leading online education platform helping over 30 million learners and educators each month. Study.com has earned numerous awards and it has been recognized as one of the most transformational companies in EdTech, living up to our commitment to all learners: Breakthroughs Start Here. From students and educators in over 9,000 school districts that use Study.com, to working adults striving to complete their college degree or gain professional certifications, we empower them to reach their full potential. Our product is our impact! Across our college programs alone we have saved students over $200M in tuition and enabled tens of thousands to become nurses, teachers, accountants and more. Additionally, as part of our mission we've donated over $27 million across social impact programs to learners and educators. As an education technology leader, Study.com owes much of its success to its data-driven approach. We help over thirty million learners and instructors on Study.com each month, improving their user experience and driving growth by collecting, storing, and presenting massive amounts of data that are crucial to everyday business decisions. We're looking for a Data Scientist to join our growing team. The ideal candidate is passionate about all aspects of data - digging deep to explain observations or gain business insights, turning complex data into intuitive visualizations, transforming it to simplify future tasks and building machine learning models to provide the business with accurate predictions. This role is based in our Mountain View, CA office and is hybrid in office Mondays, Wednesdays, and Thursdays. What You'll Do: Share ownership and maintenance responsibilities of our entire data warehouse, including 50-100 million events coming through a Kafka queue each day, a 20 node Cassandra cluster, a 15 TB relational database, and an integration with Google BigQuery. Monitor and analyze the team's A/B tests and proactively communicate key insights within your team and to external stakeholders. Be the voice of data by supporting the team's product owner in finding business opportunities, defining KPIs, and setting team goals. Provide leadership with data pulls, analyses and deep dives that significantly influence important company decisions. Create and update ETLs as our source data and data needs evolve Build data visualizations and reports using Tableau Build, maintain, and improve machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, etc.) Innovate! We're a team that likes to stay on the cutting edge. Everyone is expected to always be looking for ways to leverage the latest technology to improve our processes and drive better results. What You'll Bring To The Role: 3-5 years of experience in a Data Science or related role (experience with web analytics is a plus) BS in Mathematics, Statistics, Computer Science, or related field (master's degree or PhD a plus) Strong proficiency in SQL (Google BigQuery and MySQL) Experience writing code (Python and Java/Groovy) A willingness to work in a face-paced, dynamic environment while juggling multiple projects A passion for innovation and learning with a driven mindset Excellent communication skills Nice To Have: Experience creating complex data visualizations with Tableau Hands-on experience with advanced statistical concepts, such as cluster analysis, singular value decomposition, gradient descent, etc. Knowledge of web analytics software and best practices Strong ability to use Generative AI (e.g. ChatGPT, copilot, etc.) to assist with technical tasks The salary range for this position is $120,000 - $150,000 per year. Pay and is dependent upon factors including skills, work experience, business needs, and market demands. At Study.com, we know that strong communities are built on the power of our diversity, and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including: Inc. Best Place to Work Fortune Great Places to Work - Best Workplaces in the Bay Area Golden Bridge Awards - Gold Winner, Corporate Social Responsibility San Francisco Business Times & Silicon Valley Business Journal - Best Places to Work Study.com provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements. Study.com complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Additionally, qualified applicants with arrest and conviction records will be considered for the position in accordance with applicable state and local laws.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity As a Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do * Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights. Identify biases in data collection and observation. * Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques. * Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources. * Partner with experts across multiple functions to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience. What you need to succeed * Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study, or relevant experience. Alternatively, a Bachelor's degree with relevant practical experience. * Minimum 2 years of experience as a Data Scientist or in a similar role. * Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved. * Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop. * Expert in at least one programming or data manipulation language, preferably Python and SQL. * Data storytelling skills. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call **************.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role The Customer Analytics Team at Gap Inc. applies data analysis and statistical modeling techniques to drive business benefits for Gap Inc. and its brands. The team's focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include digital analytics, customer behaviors, forecasting, incrementality and causal inference. You will support the team to build and deploy Data and Analytics capabilities and actionable insights, in partnership with GapTech, PDM, Central Marketing & business partners across our brands. What You'll Do * Synthesize and story tell data to deliver actionable insights across functions. Present compelling data stories (verbal and slide format) to varying levels of stakeholders, including executive leadership. * Build cross functional partnerships and consensus, and influence strategy of domain areas. * Manipulate large amounts of data across a diverse set of subject areas (digital, customer, inventory, marketing, etc.) and develop statistical models and analysis to uncover actionable insights and trends. * Collaborate with other data scientists and data engineers to prepare and automate data pipelines from multiple disparate sources for analysis and modeling. * Develop compelling visualizations that support actionable insights and produce decks and presentations that are executive-ready. * Build repeatable solutions that can identify trends and insights on a regular cadence. * Mentor more junior team members and grow the technical and data storytelling skillsets of the team. Who You Are * Have strong business acumen and understanding of retail business drivers. * Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change. Have strong verbal and written communication skills, and able to present to senior executives. * Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building. * Have experience using Adobe Analytics suite to uncovering digital experience trends and insights. * Have advanced proficiency using SQL for efficient manipulation of large datasets in on-prem and cloud-distributed computing environments, such as Azure environments * Have proficiency in Python, Spark, and common scripting languages for E2E pipeline. * Have experience using causal inference methods to measure incrementality and estimate causal effects. * Have experience with supervised and unsupervised learning ML techniques, visualization packages, and a track record for creating business impact with these methods. * Ability to work in ambiguous and complex situations and analyze data to make judgments and recommend solutions. * A track record of being a self-starter who can execute and drive roadmaps. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $174,400 - $231,200 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking Data Scientists to help us build the infrastructure, metrics, and analysis frameworks that evaluate the performance and safety of Rivian's Autonomy stack - with a specific focus on planning and decision-making systems. Most importantly, your work will have a critical impact on the daily experience and safety of our customers, which is critical to the mission at Rivian. This role is ideal for someone who enjoys working end-to-end: from designing statistical evaluations, building big data pipelines, and writing tools that directly support engineering velocity. If you're a data scientist who thrives in engineering-heavy environments, values statistical precision, and wants to shape the safety story of autonomy - we'd love to hear from you. Responsibilities Analyze large datasets to extract meaningful insights related to the decision-making aspects of the Rivian Autonomy stack. Design, implement, and maintain metrics to evaluate the quality and performance of our system's driving behavior. Define and maintain evaluation datasets used for simulating and predicting on-road performance. Collaborate with motion planning and controls teams to understand data requirements and ensure alignment with product goals. Identify trends, anomalies, and areas for improvement within the simulation and real-world driving data. Recognized as a key technical authority within the department, offering guidance on current and future technology decisions. Possessing an in-depth grasp of the business and operational implications of various technology tradeoffs, effectively balancing them according to the company's needs. Empowering fellow engineers by crafting easily extendable and collaborative designs and code. Displaying the ability to influence and foster consensus, even during challenging technical discussions. Qualifications B.S. or M.S. in Data Science, Statistics, Engineering, or a related field. 8+ years of experience as a Data Scientist, preferably within the autonomous driving or automotive industry. Expert level knowledge and experience in Python and SQL. Solid understanding of statistical analysis and machine learning techniques. Experience with Automotive Self-Driving or similarly complex Robotics Systems. Familiarity with time-series analysis and large-scale datasets. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from development validation to a verified product Self-motivated: Demonstrated ability to set direction and guide the team towards it Hands-on approach: Proactively identifies and fills in gaps where needed. Pay Disclosure Salary Range for California Based Applicants: $209,800 - $262,200 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. B.S. or M.S. in Data Science, Statistics, Engineering, or a related field. 8+ years of experience as a Data Scientist, preferably within the autonomous driving or automotive industry. Expert level knowledge and experience in Python and SQL. Solid understanding of statistical analysis and machine learning techniques. Experience with Automotive Self-Driving or similarly complex Robotics Systems. Familiarity with time-series analysis and large-scale datasets. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from development validation to a verified product Self-motivated: Demonstrated ability to set direction and guide the team towards it Hands-on approach: Proactively identifies and fills in gaps where needed. Analyze large datasets to extract meaningful insights related to the decision-making aspects of the Rivian Autonomy stack. Design, implement, and maintain metrics to evaluate the quality and performance of our system's driving behavior. Define and maintain evaluation datasets used for simulating and predicting on-road performance. Collaborate with motion planning and controls teams to understand data requirements and ensure alignment with product goals. Identify trends, anomalies, and areas for improvement within the simulation and real-world driving data. Recognized as a key technical authority within the department, offering guidance on current and future technology decisions. Possessing an in-depth grasp of the business and operational implications of various technology tradeoffs, effectively balancing them according to the company's needs. Empowering fellow engineers by crafting easily extendable and collaborative designs and code. Displaying the ability to influence and foster consensus, even during challenging technical discussions.

The Department of Ophthalmology at Stanford University, School of Medicine, is seeking a highly motivated, hard-working, and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the Department of Ophthalmology; however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford's STARR and STARR-OMOP clinical research databases, the ophthalmology Sight Outcomes Research Collaborative (SOURCE) national electronic health records registry, the All of Us national cohort, commercial and Medicare claims data, national survey data, and other sources. The position will require an incumbent who is comfortable working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies and devise analysis plans; and working with project team members-including clinicians, trainees, and other statisticians/informaticists-to implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators. Duties include: * Work directly with investigators and independently identify appropriate data analytic approaches; assist in study design and proposal development * Create analytic files with detailed documentation. Prepare data for analysis by cleaning, identifying cohorts, reshaping data, creating new variables, merging multiple data tables, creating and maintaining new databases as needed. * Implement data analyses using predictive modeling approaches (machine-learning, deep-learning), or inferential statistical methods as appropriate to the project * Develop reusable and well-documented code for all projects, that can be maintained in a repository (e.g. GitHub) for collaborative use * Quickly learn new skills as needs arise, such as new programming or statistical packages * Communicate and present results for investigators using graphs and tables. * Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles. * * - Other duties may also be assigned: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: * Strong background in machine learning, biostatistics, and bioinformatics * Intellectually curious; willing and eager to learn new skills * Experience with large datasets and database use * Experience with analysis of real-world observational health data (e.g., electronic medical records, insurance claims) * Manipulation and analyses of complex high-dimensional data * Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies, duplicates, missing values, outliers, etc; developing cohorts of patients based on inclusion and exclusion criteria, such as those based on billing code diagnoses, age or other demographics, length of follow-up, or other characteristics; creating new variables, including coding relevant outcomes, combining sparse variables, normalizing/standardizing variables; merging datasets on multiple key values; reshaping data from long to wide or vice versa as the befits the analysis needs; loading data into analysis programs, saving data into different file formats * Experience with the following: 1) Machine learning predictive models (gradient boosted trees, random forest etc.); 2) Deep learning neural networks, transfer learning * Experience with free-text data (e.g., natural language processing, large language models) is a plus, or else willingness to learn EDUCATION & EXPERIENCE (REQUIRED): Master's degree in biostatistics, statistics or related field and at least 3 years of experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Proficient in R (preferred), or alternatively either SAS or STATA for statistical analyses and visualization. * Proficient in SQL * Proficient in Python, including packages such as Jupyter Notebook, matplotlib, pandas, scikit-learn, and either tensorflow/keras or pytorch or both. * Able to use GitHub, write reusable and well-documented code * Familiarity with using cloud computing platforms for data analysis, such as Google Cloud Platform and/or Amazon Web Services * Outstanding ability to communicate in written and oral English how data analyses were performed, to both technical and non-technical audiences. * Demonstrated excellence in at least one area of expertise, which may include statistical methodology such as missing data, survival analysis, or informatics; statistical computing; database design (e.g., Oracle databases, SQL); predictive modeling (machine learning and deep learning). CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS*: * Frequently perform desk based computer tasks, seated work and use light/ fine grasping. * Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs. Work Standards: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. The finalist must successfully complete a background check prior to working at Stanford University. OPT permit holders should confirm that they are eligible to work in the US for two years or more. The expected pay range for this position is $112,292 to $132,108 annually. Stanford University provides pay ranges representing its good-faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 5522 * Employee Status: Regular * Grade: I * Requisition ID: 106672 * Work Arrangement : Hybrid Eligible

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are seeking a talented and driven individual to accelerate our efforts and contribute to LinkedIn's data-centric culture. In this role, you will tackle a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. Responsibilities - Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. - Analyze large-scale structured and unstructured data. - Develop methodologies to enhance LinkedIn's operations and platform capabilities. - Apply technical expertise to our forecasting and capacity planning process to seek opportunities of improvement - Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. - Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. - Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. - Initiate and drive projects to completion independently. - Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. - Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. - Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. - 5+ years of industry or relevant academia experience - Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) - Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: - 7+ years of industry or relevant academia experience - MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. or other quantitative field. - Experience in infrastructure planning, operations research, or a related field - Familiarity with cloud computing platforms and infrastructure management systems. Suggested Skills - Statistical Modeling - Forecasting - Programming - Data Analysis - Infrastructure Planning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

We are seeking an experienced Staff Data Scientist to join our Walmart eCommerce Product Analytics team. As a member of our team, you will be responsible for developing and executing data-driven strategies to improve our eCommerce product offerings and customer experience. What You'll Do Use statistical modeling and machine learning techniques to analyze large and complex data sets to solve business problems and identify new opportunities Drive experimentation for Walmart eCommerce products. Collaborate with cross-functional teams including engineering, UX design, product management, and business analytics to develop data-driven insights and recommendations Develop and maintain a deep understanding of our customers, products, and business operations to inform data-driven decisions - Manage, mentor, and lead a team of data scientists to ensure high-quality work and growth opportunities for team members Lead multiple projects and domains Preferred Qualification: Masters or equivalent degree in Statistics, Mathematics, Computer Science, or a related field 6+ years of experience in a data science or analytics role, with proven experience in developing statistical models and algorithms to drive business impact 4+ years of A/B testing experience Demonstrated expertise in machine learning, optimization, and experimentation techniques Strong programming skills, especially in Python or R, and familiarity with big data tools and technologies such as Hadoop and Spark Excellent communication skills with the ability to translate complex analytical concepts to non-technical stakeholders We offer competitive salaries, comprehensive benefits, and a vibrant and collaborative work environment to help you achieve your career goals. Join us in our mission to provide customers with the best possible eCommerce experience and shape the future of retail! Live our Values Culture Champion• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance. Servant Leadership • Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace Change Curiosity & Courage • Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change • Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Deliver for the Customer Customer Focus • Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans. Strategic Thinking • Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy. Focus on our Associates Diversity, Equity & Inclusion • Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team. Collaboration & Influence • Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action. Talent Management • Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

ClinCapture - San Francisco, CA (Hybrid, 1 Day/Week Onsite) ClinCapture, Inc. is a digital health software company with offices in San Francisco, CA and Las Vegas, NV. ClinCapture is a leading provider of Electronic Data Capture (EDC) software, helping life sciences companies run clinical trials efficiently and compliantly. As we expand into professional services, we are seeking a part-time Biostatistician / Statistical Programmer to support CDISC dataset generation and regulatory submission deliverables. At ClinCapture, our mission is to build "software that saves lives." Our technology lowers the cost of clinical research by accelerating clinical study workflows, while providing a platform that protects patient privacy. ClinCapture advances the evaluation and development of new medicines, medical devices, and diagnostics which demonstrate promise for a wide range of medical conditions. Position Summary We are looking for a skilled Biostatistician / Statistical Programmer to join our team on a part-time basis (10-20 hours per week). This role will focus on building SDTM and ADaM datasets, preparing submission-ready packages, and generating outputs for clinical study reports and regulatory filings. The initial role is part-time with potential for full-time work as our services grow. This is a hybrid position based in San Francisco. The candidate must be available to work onsite 1 day per week for collaboration with the internal team. Responsibilities Build and validate CDISC SDTM and ADaM datasets for FDA/EMA regulatory submissions. Generate statistical outputs (Tables, Listings, Figures) for CSRs, interim analyses, and regulatory reporting. Prepare submission documentation, specifications, mapping documents, and define.xml. Collaborate with clinical data management and project teams to ensure data quality, compliance, and readiness. Perform statistical programming in SAS and/or R to support study deliverables. Ensure timely, high-quality deliverables that meet regulatory and sponsor expectations. Qualifications 3+ years of experience in clinical trials statistical programming. Strong expertise with CDISC SDTM and ADaM standards. Proficient in SAS (BASE, MACRO, STAT); R experience is a plus. Familiarity with FDA/EMA submission requirements and submission-ready datasets. Experience with clinical data, data management, and clinical coding is a plus. Excellent attention to detail and strong documentation skills. Strong communication and ability to work independently. Must be located in the San Francisco Bay Area and able to work onsite one day per week. Compensation $90-$100/hour DOE Part-time: 10-20 hours per week To Apply Please submit your resume and a brief cover letter describing your experience with SDTM/ADaM and clinical trial submissions.

Job DescriptionDescriptionThe Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. This individual will work on Aligns digital clinical database to develop and deliver data-driven insights, metrics, and recommendations to assist teams to drive the company’s product development roadmap and transform the orthodontic world with the Invisalign product. Role expectations Apply advanced data analytics to derive insights from production data and clinical studies and contribute to product development projects Work on full-stack data analysis: Defining problems, data collection through SQL queries, data cleaning & wrangling, exploratory & confirmatory analyses, data visualization and storytelling Responsible for constructing technical hypotheses, performing statistical analyses, and interpreting analysis results to support data-driven decision making for product development Identify key insights from analytical results, prepare well-documented reports/presentations and share with internal/external stakeholders Work collaboratively and independently in the design, analysis, and interpretation of prospective and retrospective clinical studies Participate in the review and update of bench-top testing best practice methodologies, including design of experiment, and statistical significance of results in support of product research team Develop a comprehensive understanding of the Invisalign products and operational procedures Provide product/clinical analytics expertise within the R&D group, including product engineering, materials, software, and clinical research teams Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally Work efficiently in a fast-paced environment to meet critical deadlines and priority changes What we're looking for MS or PhD in data analytics, statistics, biostatistics, computer science, mathematics, or related technical field 3+ years of relevant industrial experience in data analytics and modeling. An appropriate combination of education, skills, and experience can be substituted for total years Experience with querying relational databases (e.g. SQL) Experience with scripting languages such as R or Python Experience with machine learning techniques and algorithms Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical audiences and interact cross-functionally with both technical and non-technical people Desired: Dental, medical device or pharmaceutical industry experience preferred Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate’s pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. Job Description CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector. The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate. Qualifications Key Responsibilities Analyze various data sets and build sophisticated mathematical/statistical models Design and optimize algorithms to achieve the best solutions Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Participate in product ideation sessions, roadmap reviews and customer calls as needed. Qualifications & Experience Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred) Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.) Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc. Ability to work collaboratively and independently. Personal Characteristics A passion for data science and problem-solving in general Self-driven individual who can take a high level idea and see it through to completion with minimal supervision The desire and ability to work in a fast-paced, start-up atmosphere Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives Ability to work under tight deadlines and display grace under pressure Willingness to learn about the industry we serve Excellent organizational, interpersonal, and communication skills (both written and verbal). Additional Information At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Us DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview The Solution Data Scientist (Fraud & AML) will be part of our Professional Service team, reporting to our Chief Solution Architect and VP Professional Services. You will lead various types of technical projects e.g. fraud attack pattern study, risk strategy development, data pipeline and platform configuration, and machine learning model evaluation. Such projects may span both pre-sales and post-sales engagements with DataVisor clients. You will drive the internal engagement with Customer Success, ML Model, Product and Engineering teams to deliver fraud and AML solutions and custom platform configuration that bring business impacts to our clients and generate revenue for DataVisor. You are a big believer and proficient user of GenAI tools e.g. ChatGPT to perform data analysis tasks 10x more efficiently than before. Key Responsibilities * Business Problem Discovery: Discover and understand the client's business logic and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome. * Data Integration and Quality Check: Lead technical discussions with clients' risk business teams (Fraud and AML) and data team to ensure high quality and comprehensive data is provided. Own the data transfers and data quality validation. * Risk Pattern Analyses and Strategies: Leverage your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations. * Solution Design and Configurations: Design and configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients. * ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption. * Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables. * Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders. * Experience: * 4+ years of experience in Fraud and/or AML strategies or models * 2+ years of experience in client-facing data analytic projects * Technical Skills: * Domain knowledge in Fraud and AML use cases in financial services industry * Proficient in SQL queries with complex joining and layered logics * Familiarity with data streaming/processing e.g. REST API, Kafka, SFTP, Hadoop * Familiarity with Python, R, and Java is a plus * Proficient in LLM tools e.g. ChatGPT to research new business problems * Soft Skills: * Excellent communication, presentation, and interpersonal skills * Strong problem-solving mindset and results-driven mindset * Strong mindset of documentation and automation with AI tools/agents * Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously * Education: * Bachelor's degree in a technical or analytical discipline e.g. Data Science, Statistics, Computer Science Why Join Us? * Opportunity to work on impactful projects that protect businesses from risk loss * Collaborate with a diverse and talented team of experts in AI and machine learning * Enjoy a flexible, supportive work environment with opportunities for professional growth * Competitive compensation and benefits package * Stock options, Medical insurance, 401K, PTO

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary This Data Scientist will play a critical role in driving data-driven decision-making and innovation across the Electrical Hardware team, leveraging their expertise in data analysis to uncover insights and help solve complex engineering challenges. We are looking for someone with a solid technical background, who is able to partner with engineering leaders across the electronics organization to catalyze meaningful change via data analytics, tools, and structured reporting. Responsibilities ● Support a wide variety of analytical needs across the Electrical Hardware team, collaborating closely with cross-functional teams including electrical, mechanical, and firmware engineers ● Perform in-depth analysis of large datasets to identify trends, patterns, and insights that drive optimization and improvement of electrical hardware components & systems ● Communicate findings and recommendations clearly and concisely to technical audiences through compelling visualizations and presentations ● Take an active role in improving the tools, processes, and methods that the Electrical Hardware department uses on a daily basis Qualifications ● Bachelor's or Master's degree in Electrical Engineering, Data Science, or a related quantitative field ● 7+ years of experience in data analysis, preferably in the automotive or electronics industry ● Solid understanding of electrical hardware principles and components ● Advanced proficiency in SQL and Python, with experience in data visualization tools ● Experience in leveraging AI tools to improve the speed and efficiency of data analysis ● Excellent communication and presentation skills with the ability to explain complex technical concepts to a diverse audience Pay Disclosure Salary Range for Bay Area Based Applicants: $186,000 - $232,500 (actual compensation will be determined based on experience, location, and other factors permitted by law) Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26 Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. ● Bachelor's or Master's degree in Electrical Engineering, Data Science, or a related quantitative field ● 7+ years of experience in data analysis, preferably in the automotive or electronics industry ● Solid understanding of electrical hardware principles and components ● Advanced proficiency in SQL and Python, with experience in data visualization tools ● Experience in leveraging AI tools to improve the speed and efficiency of data analysis ● Excellent communication and presentation skills with the ability to explain complex technical concepts to a diverse audience ● Support a wide variety of analytical needs across the Electrical Hardware team, collaborating closely with cross-functional teams including electrical, mechanical, and firmware engineers ● Perform in-depth analysis of large datasets to identify trends, patterns, and insights that drive optimization and improvement of electrical hardware components & systems ● Communicate findings and recommendations clearly and concisely to technical audiences through compelling visualizations and presentations ● Take an active role in improving the tools, processes, and methods that the Electrical Hardware department uses on a daily basis

NOTE: This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze. The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab. About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health. As a Data Scientist, you will: * Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies. * Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis. * Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data. * Support training of research fellows on best practices and technical skills Core Duties: * Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. * Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed. * Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. * Research and reconcile data discrepancies occurring among various information systems and reports. * Collaborate with data managers to define and implement data standards and common data elements for data collection. * Identify new sources of data and methods to improve data collection, analysis and reporting. * May test prototype software and participate in approval and release process for new software. * Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: * Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. * Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. * Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. * Strong listening, verbal and written communication skills. * Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. * Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. * Ability to work with data of varying levels of quality and validity. * Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. * Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: * CV * Cover Letter * Project and code samples or Github * Transcript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4744 * Employee Status: Fixed-Term * Grade: G * Requisition ID: 102373 * Work Arrangement : Hybrid Eligible, On Site

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. We work in a mission-driven organization with complex business and social models and objectives. This role will require a strong understanding of LinkedIn's business, vision and concept of labor markets; a strong ability to examine complex data and and improve the way we work. At LinkedIn, we know that labor markets matter. When publicly available data and our data are used with intention, there is significant opportunity to better understand current dynamics and trends as well as to help individuals get jobs, increase career mobility, and unlock economic opportunity. This role will be based in either Sunnyvale, San Francisco or NYC depending on which area the candidate approved-for-hire chooses. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This Role: As a Labor Economist, you will use your background in economic research and analytics to advance thought leadership about how local and global trends and shocks to the macroeconomy and labor market influence job seeking behavior and outcomes. You will partner with business leaders and employ strategic thinking to inform decisions about LinkedIn's thought leadership, product development and user experience. You'll work closely with our multi-disciplinary team of researchers to identify and conduct research that influences how we create opportunity for LinkedIn's members and create value for our customers. You will oversee research projects, working with partners across Product, Engineering, Policy, and Marketing teams. You'll develop ongoing relationships with teams to help build sustainable, long-term impact. Your work will have high visibility from leadership. Responsibilities - Conduct applied labor and macroeconomic research to generate impact for our internal and external audiences. - Design, conduct, and analyze studies with high levels of technical accuracy. - Analyze large structured and/or unstructured data. - Communicate research findings to stakeholders and leadership. - Create frameworks and tools to allow more teams across the company to leverage your research. Basic Qualifications - Masters or PhD in Economics or related field ( e.g. Business, Statistics, Engineering, other cognitive sciences) or equivalent practical experience. - 6+ years of experience network economics and research methods applied to understanding how networks impact our behavior - Experience leading research and actionable output. Preferred Qualifications - Experience in analyzing labor markets and evaluating data collected and curated from multiple sources. - Experience working with data systems, coding in SQL, R and/or Python - Excellent communication and presentation skills. Able to present complex ideas simply, directly and elicit meaningful feedback. - Demonstrated ability to frame and solve problems in an objective way, and to lead others through efficient and structured methods of decision-making. - Ability to build collaborative partnerships with Product and Engineering teams. - Experience working effectively in a highly matrixed organization that is both dynamic and high-growth. Suggested Skills - Economic Research - Data Analysis, Econometrics - Communication - Collaboration - Strategic Thinking You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $138,000.00 to $226,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************