Data Scientist Jobs in Ridgecrest, CA

Job Title: Data Science - Fraud Analytics Employment: FTE Salary : $100,000 - $165,000 p.a. plus upto 10% Variable pay plus benefits (Based on Exp) Years of experience: 3-8 Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail, sports, entertainment and logistics, helping them build robust data analytics and AI capabilities. With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT. Website: ************************ Linkedin Job Role: Data Science - Fraud Analytics Type: FTE Location: New York, NY/San Jose, CA Roles and Responsibilities: · Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud). · Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences. · Develop Fraud rules on workflow systems ·Develop fraud reports for ongoing monitoring of fraud events. ·Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. ·Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. ·Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: ·Bachelor's degree in engineering, technology, computer science or related field. ·3+ years of proven data analytics experience in fraud prevention, risk management, or a related field ·Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. ·Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. · Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. · Ability to work collaboratively in a cross-functional team environment. Straive Package Benefits Medical, Dental, and Vision Insurance Group Life Insurance and Accident and Death Coverage for Employee Business Travel Accident Insurance 401(k) Employee Retirement Plan Personal Time Off (PTO) Annual Merit Increase (AMI)

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.

Role: Staff Data Scientist Salary: $215k base is the mid point. Aim for $180k - $240k with anything above needing to be VERY strong. + equity (stock options typically from 15,000 - 20,000 options, Roughly $120k - $160k) Senior DS Salary is $150k - $185k base (stock options typically from 10,000 - 15,000, Roughly $80k - $120k) VISA: US Citizen or Green Card only This travel bookings company is backed by top investors, they leverage data science and machine learning to drive business decisions and enhance customer experiences. With a valuation of $2.13 billion, they are on track for impressive growth and looking to expand their team significantly by the end of 2025. The Role: As a Staff Data Scientist, you will lead initiatives to improve machine learning models and services, specifically in pricing, lead scoring, and personalization. You'll work closely with engineering and business teams to turn insights into actionable strategies while helping shape the company's data science infrastructure. Strong communication skills are essential to present findings to both technical and non-technical audiences. Key Responsibilities: Lead end-to-end data science initiatives (data gathering, feature engineering, model selection, training, and monitoring). Collaborate with engineering and business teams to drive results. Enhance data science strategy and infrastructure with analysts and data engineers. Provide constructive feedback and actively contribute to discussions. Requirements: We are prioritizing the following expertise: Pricing: Strong experience in pricing models and optimization. Lead Scoring: Extensive background in lead scoring and predictive analytics. Essential Skills & Experience: Expertise in Python (scikit-learn, numpy, pandas) and SQL. Strong machine learning and statistical modeling skills, with a deep understanding of model selection and fine-tuning. Experience with Generative AI. Ability to collaborate with stakeholders and provide constructive feedback. Snowflake and AWS experience is a plus. Background in a quantitative discipline (Mathematics, Statistics, Engineering, Computer Science, etc.). Why Join? Work in a fast-paced, high-energy startup environment. Impactful role at a company valued at over $2 billion. Competitive salary and benefits, with a focus on work-life balance.

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are seeking an experienced and highly skilled Senior Data Scientist to lead the development and deployment of innovative data science solutions. The ideal candidate has deep expertise in statistical modeling, programming in R and/or Python, and a proven ability to communicate complex concepts in a clear and accessible way. This role will involve working closely with both technical and non-technical stakeholders, mentoring team members, and ensuring that models are built with accuracy, fairness, and sustainability in mind. If you're driven by solving meaningful problems with data and enjoy mentoring teams and building scalable systems, we'd love to hear from you. Responsibilities Develop and maintain data science models using R and/or Python Build statistical, predictive, and forecasting models, considering algorithmic bias and ethical implications Lead end-to-end development of data science solutions, including requirements gathering, coding, deployment, performance evaluation, and optimization Translate model logic and outcomes into simulations and actionable insights for both technical teams and business users Collaborate using tools such as Posit Workbench, Databricks, Hex, or similar platforms Provide hands-on training to the Data Science team in version control using GIT, and transfer knowledge on modeling techniques and statistical methods Explain complex statistical concepts in simple, understandable language to non-technical stakeholders Configure, maintain, and troubleshoot Linux servers hosting data science tools Create thorough documentation of code, software environments, server settings, and workflow processes to ensure long-term maintainability Work within or support organizations in government, school districts, or related public sector settings (preferred) Qualifications Master's or Ph.D. in Computer Science, Applied Mathematics, Statistics, Data Science, or a related field from an accredited university in the United States A minimum of eight (8) years of experience in delivering services related to data science as described in the Statement of Work (SOW) Demonstrated proficiency in R and/or Python for data science applications Proven track record of building and deploying statistical and forecasting models Deep understanding of algorithmic bias and its implications in real-world systems Strong communication skills with the ability to present technical concepts to both technical and non-technical audiences Experience using GIT for version control in collaborative environments Familiarity with Linux systems and the ability to configure and manage data science tools in that environment Commitment to writing clean, maintainable code and thorough documentation Experience in government or educational institutions is highly desirable Additional Details The base range for this contract position is $90-100/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

Data Scientist/Growth Engineer - Growth-Focused Role at a Fast-Moving AI Startup San Francisco (Onsite) | Early-stage | High ownership Our client is a fast-scaling, founder-led AI startup backed by top-tier investors. They're building a high-output engineering team and looking for a Data Scientist to help drive growth through first-principles thinking and data-led strategy. This isn't a back-office analytics role - this is about being in the room where bets are made. You'll work directly with founders to shape GTM strategy, analyze user behavior, and help define the playbook for scale. What you'll do: Analyze customer and usage data to find patterns that guide outbound, marketing, and product focus. Work hand-in-hand with the GTM team to identify high-conviction opportunities and eliminate wasted motion. Build the dashboards and reporting infra that inform the leadership team's most critical decisions. Surface actionable insights fast - even when the data is messy, incomplete, or ambiguous. Help build a data-first culture across product, growth, and execs. You might be a fit if: You've done data science or analytics in a high-growth environment (ideally early-stage or startup). You're energized by helping a company find product-market fit and scale it. You've worked closely with sales, growth, or marketing teams before - and know how to translate insight into revenue. You're sharp with SQL, Python, and modern BI tools - but more importantly, you know how to ask the right questions. Bonus: you've seen zero-to-one growth before, and you're ready to do it again - faster. Why this role? You'll be one of the first data hires at a rocketship startup, with a direct line to the CEO and leadership team. Every insight you generate will inform how the company grows. You'll work in a sharp, in-person team where output matters more than credentials. Real equity. Real ownership. Real impact. We're moving fast on this one - reach out if you want to be considered.

👩 💻 Senior Data Scientist / Researcher 💊 Seed Biotech going through it's growth faze 📍 Los Angeles (can be remote within US with monthly travel) 💸 Competitive base + hefty equity About We are working with a team that is building the next generation of intelligent discovery tools for biology. They're reimagining how scientists interact with knowledge, data, and AI to accelerate insights across genomics, disease mechanisms, therapeutics, and beyond. Join them in shaping how foundational models are applied to real-world biomedical questions. Responsibilities Collaborate closely with ML engineers, domain scientists, and product teams to build and validate AI models that unlock insights from multi-omics, biomedical literature, and experimental datasets. Develop and evaluate embeddings, retrieval systems, and generative models for use in scientific knowledge extraction. Translate complex biomedical questions into tractable data problems. Prototype novel methods and contribute to internal research efforts on foundation models in biology. Qualifications A PhD or MS in Computational Biology, Bioinformatics, Biostatistics, or related field - or equivalent experience in applied biomedical research. Strong Python and data science skills (e.g., NumPy, pandas, scikit-learn, PyTorch). Familiarity with scientific datasets (e.g., GEO, UniProt, PubMed, TCGA, PDB) and domain-specific ontologies (e.g., GO, UMLS, MeSH). Experience working with large-scale biomedical data: transcriptomics, genomics, proteomics, or clinical. Bonus: Experience with LLMs, embeddings, or biomedical NLP (e.g., BioBERT, SciSpacy). 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************ ⚡ Storm3 is a HealthTech & Biotech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el

Seeking Founding Data Scientists and Machine Learning Engineers Palladio AI | San Francisco Bay Area (Hybrid) Imagine Multiplying Your Impact You've unlocked major wins in your career - you've shipped models, moved key metrics, and proved what great data science and machine learning can do. You've bent the curve for products used by millions of people. Now, picture the idea of leveling up the entire app ecosystem by scaling your impact across many products and companies so every app in your pocket becomes smarter, more engaging, and more essential to the people who rely on it. You can help product teams iterate faster, delight users, and grow revenue, all because of the intelligence you build once and deploy everywhere. We know this ambition: we've done this again and again at places like Uber, Apple, Meta, Google, and Chime. We've had tens of billions of dollars of impact for products essential to billions of people, and we're ready to scale our impact to the next level. If this sounds like the next chapter you're looking for, read on. Why Palladio Exists Dashboards describe the past; teams need their next move . Palladio AI is the intelligence layer between raw data and decisive action, surfacing product opportunities that turn into real growth levers and guiding action so product teams iterate with confidence and velocity instead of sifting through noise. What You'll Shape Our team is building core systems in behavioral modeling, causal inference, forecasting, agentic platforms, and more. You'll help extend those domains: building ML and AI models to detect and surface product opportunities, shipping learning loops that improve themselves with every release. In short, you'll turn first-principles data science into a product that scales across industries. More than any technical challenge, you'll build a platform that helps real people make better decisions, turning data into clarity and clarity into progress. About You Craft and excellence. You dive into messy data, prototype quickly, and iterate until the insight sings. Impact mindset. 6+ years in production ML/DS; you balance scientific rigor with “it ships today, iteration on the way” pragmatism. Owner at heart. Zero-to-one energizes you; you'd rather set the standard than inherit one. Product voice. You can walk a PM through trade-offs as confidently as you tune a model. Customer-obsessed. You connect with the user's pain, measure success in user outcomes, and translate findings into product wins. Beginner's Mind. You stay hungry to learn, because better ideas are always out there. Our Team Our team has shaped the design, data, and systems behind some of the world's most iconic products. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Meta, Google, and Chime, and shipped products used by billions. We've had tens of billions of dollars of impact. Backed by top-tier investors, we're now channeling that experience into a focused, user-obsessed startup so every product team can tap the same class of intelligence at scale. Why Join Now This is the moment to have an outsized impact. You'll work directly with founders and early customers to define not just features but also the fundamental approach to how product intelligence should work. You'll see your ideas in production quickly, affecting real decisions for products used by millions. We're building a company that values clarity, craft, and impact. If those values resonate with you, we'd love to connect. Ready for the next level of impact? Reach us at ************************. Let's build breakthroughs together!

As a Senior Data Scientist, you will play a key role in empowering consumers and creating business value by designing, developing, and deploying intelligent solutions across a diverse range of clients including Financial Institutions, FinTechs, SMEs, Large Enterprises, and Government Agencies. You will focus on delivering "Certainty as a Service" through explainable and trustworthy models in domains such as lending, financial decisioning, management, and payments. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for production use. Create consumable metrics, explainability frameworks, and confidence measures for decision-making solutions. Drive insights from complex and diverse datasets, including structured, unstructured, and time-series data. Work across Verification Services, Entity Resolution, Attribute & Temporal Analysis, and related platforms. Perform advanced error analysis, dimensionality reduction, and model interpretability assessments. Translate business problems into data science solutions in lending, credit scoring, and financial management. Collaborate with cross-functional teams to ensure successful deployment via Kubernetes, Docker, APIs, and event-driven architecture. Communicate findings clearly with both technical and non-technical stakeholders. Required Qualifications: Master's Degree or higher in Data Science, Computer Science, Information Systems, or a closely related field. A Ph.D. is preferred. 10+ years of commercial experience in Machine Learning / Deep Learning, including model development and deployment. Strong experience in Python for data science and software development. Solid foundation in: Natural Language Understanding (NLU). Computer Vision. Statistical Modeling Data Visualization. Classical and Advanced ML methods. Experience in model interpretability and explainability. Demonstrated ability to solve novel problems in the financial domain. Strong experience with Kubernetes, Docker, REST APIs, GraphQL, and event streaming. Excellent written and verbal communication skills. Preferred Qualifications: Exposure to credit risk modeling, risk evaluation, and financial decision systems. Experience in Finance or FinTech domains. Expertise in discrete, differential, deterministic, and probabilistic mathematical modeling. Advanced skills in Transformer models, Attention Mechanisms, PCA or other dimensionality reduction techniques. Strong background in Data Architecture, Query Optimization, and ML Ops. Familiarity with positive attribution techniques, decision science in lending, and attribute analysis.

Job Description Gold Coast Health Plan will not sponsor applicants for work visas. The pay range above represents the minimum and maximum rate for this position in California. Factors that may be used to determine where newly hired employees will be placed in the pay range include the employee specific skills and qualifications, relevant years of experience and comparison to other employees already in this role. Most often, a newly hired employee will be placed below the midpoint of the range. Salary range will vary for remote positions outside of California and future increases will be based on the pay band for the city and state you reside in. POSITION SUMMARY The Quality Data Engineer will work with the Quality business unit and IT resources to develop solutions for operational and ad-hoc reporting, ETL, data driven business decisions, and systems integration from technical specifications based on customer and business needs, industry best practices and available technology. The Quality Data Engineer will deliver quality and value in a fast-paced, dynamic environment to support our Medicare and Medi-Cal programs through transforming clinical data to inform quality improvement efforts and strategic decision making, collaboration with partners across the organization and support of the HEDIS program and related activities. The Quality Data Engineer will perform assigned tasks and duties of limited complexity and scope; supporting designated software package(s), business solution(s), or program(s) of work independently or under the general direction of a Senior Developer or Manager. The Quality Data Engineer through identification, analysis, synthesis, technical specifications, and solution development based on customer and business needs, industry best practices and available technology. Amount of Travel Required: 5% Work Schedule: Travel to multiple sites and locations. Work protracted or irregular hours and evening meetings, or unusual hours for meeting attendance or participation in specific projects or programs. Reasonable Accommodations Statement To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions. Essential Functions Statements • Primary function: Uses analytical, data and SQL development skills to produce reports to support the Business in making data driven business decisions. Includes producing both ad-hoc and regularly scheduled reports. Reviews data to ensure validity. • Under the technical direction of more senior developers, works with Business Systems Analysts, Business Stakeholders, vendors, and solutions partners to develop solutions for operational and ad-hoc reporting, ETL, data driven business decisions support, and systems integration. • Develop SQL Server stored procedures, functions, views and triggers to be used during the development lifecycle and ETL process. Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources. • Provides analysis and development support for initiatives, including business function support for system migrations and consolidations, business area process improvement projects, and product installations • Consumes departmental business system requirements and business systems design documents, customer acceptance test plans, and post-implementation plans. • Provide Continuous monitoring of quality measure data (numerators and Denominators), identify data irregularities, monitor the Data Quality team and their projects. Refine and automate regular processes, track issues, and document changes. • Review of use cases and test cases. • Executes system testing. • Facilitates and support user acceptance testing. • Perform and execute data extraction, transformation and loading using ETL tools. POSITION QUALIFICATIONS Competency Statements • Technical Aptitude - Ability to comprehend complex technical topics and specialized information. • Working knowledge of current quality measures and data best practice in the healthcare industry demonstrated in recent professional experience. • Research, analytical, organization, and time/project management skills required. Ability to work in a self-directed manner with minimal direction and oversight. • Experience building quality data integrations in a complex provider or health plan environment. • Possess an understanding of health industry data elements, and understanding of how elements are used within departmental processes. • Strong written and verbal communication skills, especially the ability to explain system and technical topics to non-technical resources. • Strong business analysis, mathematical, statistical, and data analysis skills. • Systems Analysis - Ability to determine how a system should work and how changes in conditions, operations, and the environment will affect outcomes. • Business Acumen - Ability to grasp and understand business concepts and issues. • Communication, Oral - Ability to communicate effectively with others using the spoken word. • Communication, Written - Ability to communicate in writing clearly and concisely. • Customer Oriented - Ability to take care of the customers’ needs while following company procedures. • Diversity Oriented - Ability to work effectively with people regardless of their age, gender, race, ethnicity, religion, or job type SKILLS & ABILITIES Education: • Bachelor's Degree (four-year college or technical school) Required, Field of Study: A degree in computer science, information systems, or software engineering • Or any combination of academic education, professional training or work experience, which demonstrates the ability to perform the duties of the position. Experience: • 2 plus years with Health Care data or other applicable industry data domain knowledge including claims adjudication, member and provider demographic management, QI (HEDIS reporting), UM/CM. • 2 plus years of experience in building data pipelines using Azure Data Factory and/or Synapse • 2 plus years of experience in SQL development-developing and designing applications and/or reports on SQL server 2014+ Technical Skills: • Hands-on experience in writing T-SQL queries, Stored Procedures, User Defined Functions, Jobs, Cursors, Views and Triggers, optimized for database efficiency. • Designing, configuring, and managing ADF and Synapse pipelines to orchestrate data workflows. • Implementing different types of activities such as Copy Activity, Data Flow, Databricks Activity, and Control Flow activities. • Configuring linked services to connect to various data stores and defining datasets for data structures. • Knowledge of Azure DevOps, CI/CD is a must. • Should have clear understanding of DW lifecycle and contribute in preparing Design documents, Unit Test plans, Code review reports Preferred Experience: • Experience with various programming and scripting languages (JAVA, RPG, C, XSLT, various. NET languages, python, javascript, shell script...) • Modeling tools such as Toad Data Modeler, Erwin or Embarcadero • Health Care or other applicable industry experience. Possess a very high level of subject matter expertise in a functional area, which may require expertise in benefits, claims adjudication, provider or employer contract administration, member and provider demographic management, QI (HEDIS reporting), UM/CM. • Experience with healthcare-specific data exchange and integration formats, e.g. HIPAA EDI/X12, HL7, FHIR, NCPDP • Experience using BI technologies (preferably MS—SSRS and PowerBI / DAX, Milliman MedInsight) • Knowledge of integration concepts, patterns, and formats: XML Schemas, SOAP, WS Specifications, HIPAA EDI, JSON

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. 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Data Scientist Data Science & Artificial Intelligence Department Role Type: Contract About Our Client Our client is a leading utility company working at the forefront of the clean energy transition. With a long-standing history of service and innovation, the company serves millions of customers and is committed to creating a sustainable energy future. Their core values focus on safety, reliability, equity, and environmental stewardship. They operate across a wide geographic area and are known for deploying data science and AI solutions to tackle some of the industry's most complex challenges. Job Description We are seeking a Data Scientist with experience delivering end-to-end data science solutions. This individual will join a dynamic "Delivery" team in the Data Science & Artificial Intelligence Department. The team works cross-functionally across various high-priority business areas to uncover insights from large, disparate datasets and guide data-driven decision-making. The ideal candidate will develop production-quality algorithms, design predictive models, and collaborate closely with business stakeholders and domain experts to validate solutions and communicate findings. This is a unique opportunity to shape the future of the electric grid by applying machine learning to critical projects involving energy consumption, electric vehicle adoption, and more. Duties and Responsibilities Design and develop production-level algorithms in Python for customer energy behavior analysis. Create spatio-temporal models to forecast electric vehicle adoption. Conduct exploratory data analysis, root cause investigation, and error diagnostics. Validate machine learning models against technical and business criteria. Translate business needs into structured analytics problems. Collaborate with cross-functional teams including Power Distribution, Grid Planning, and Clean Energy. Present technical results and business implications to stakeholders and leadership. Required Experience/Skills Ph.D. in Engineering, Computer Science, Statistics, Applied Sciences, or a related field. Experience with spatio-temporal statistics and large time series datasets. Strong programming proficiency in Python and/or R. Demonstrated ability to build and validate machine learning models. Strong understanding of applied statistics, probability, and data science practices. 2+ years of experience in scientific software development at scale. Nice-to-Haves Experience with cloud platforms (AWS, Azure, GCP). Industry experience in utilities, EV infrastructure, DERs, or related analytics fields. Strong communication and problem-solving skills. Background in converting business requirements into technical implementation plans. Education Ph.D. in Engineering, Computer Science, Physics, Econometrics, Economics, Mathematics, Statistics, or similar quantitative discipline. Pay & Benefits Summary Health benefits Time off allowance Reimbursement for travel Call-to-Action Ready to make a difference in the clean energy future? Apply now to join a top-tier data science team and help shape tomorrow's power grid. Data Science | Python | Machine Learning | Energy | Utilities | EV Forecasting | Spatio-Temporal Analysis | AI Solutions

Data Engineer Specialist - Boron, CA * Propose, engage, and support data analytics and business intelligence projects * Engineer and design complex and efficient data pipelines using Python and SQL * Turning business use cases and requirements into technical solutions * Continuous improvement of the data solutions for the mine technical services team * For California based roles the expected salary is $90,000 - $ 123,750 About the Role All progress begins with pioneers. At Rio Tinto, it begins with you. We have an opportunity for a Data Engineer Specialist to work with challenging and exciting analytics problems and positively impact the business while engaging with a team of engineers, geologists, and data engineers. This role will involve gaining substantial experience working with our data systems to develop state-of-the-art data solutions for our business's data problems. You will be regularly challenged but given the support to drive your innovations! Reporting to the Senior Engineer-Strategic Mine Planning, you will support the Mine Technical Services team to design and continually improve services that solve business problems and provide insight to making improved decisions for our borates business. You will utilize your hands-on solid coding skills in Python and SQL to: * Ensure best in class processes and techniques to develop and deploy data analytics solutions to the business * Collect, aggregate, and analyze structured/unstructured data from multiple internal sources and provide patterns, insights, and trends to the business decision-maker * Utilize Palantir Foundry to flexibly manage and scale data pipelines * Foster an innovative and "disruptive" technology culture to identify and drive value-creating opportunities * Help the broader Rio Tinto Borates function by advising technical complexity of identified opportunities * Provide training and knowledge transfer to support the deployment and continuity of the analytics products developed About You Ideally, you will have a qualification in mining engineering or an earth science related field, computer science, data science, or related fields. Experience in the mining industry would be advantageous. You should also have experience with some or all of the below: * Proficiency in exploring and manipulating large datasets through applications or programming interfaces. * Demonstrated experience preparing data for business intelligence * Ability to write and optimize SQL queries and create efficient data extract/transform/load (ETL) programs and tasks. * Pipeline development, across different data architectures, (transactional, time series, streaming, unstructured) and storage solutions including use of APIs * Strong analytical and problem-solving skills to diagnose and logically resolve technical problems * Proficiency in SQL and Python, and Power BI is a must * Software engineering experience desirable * Knowledge and skills in one or more of the big data frameworks, i.e., Spark, Hive, Hadoop (desirable) * Exposure in, or willingness to learn, Palantir Foundry analytics platform * Ability and desire to learn new skills on demand Where you will be working This role is based in Boron, California. Flexible work arrangements are possible, but considerable time on site is required. About Rio Tinto Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive. We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs - striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can't do it on our own, so we're focused on creating partnerships to solve problems, create win-win situations and meet opportunities. Every Voice Matters Rio Tinto is committed to equal employment opportunity. All qualified applicants will be considered without regard to race, color, sex, age, religion, national origin, disability, or any other characteristic protected by federal, state, or local law. We are committed to an inclusive environment where people feel safe, respected and valued. We want our people to feel that all voices are heard and that a variety of perspectives are not only welcome but are essential to our success. We treat all our people fairly and with dignity. Rio Tinto participates in E- Verify to confirm work authorization. Please visit ******************** for more information.

About the job you're considering As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day. Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals. Your role * Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders. * Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise. * Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements. * Addresses area-level risks, provides and implements mitigation plan. * Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR. * Design, develop and implement large scale, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse. Your skills and experience * Expert in Database fundamentals, Advanced proficiency in Complex SQL and distributed computing. * 5 years' experience working in data engineering, business intelligence, or a similar role Proficiency in Python * Must have the ability to debug spark jobs. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms. * 5 years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP. * Experience in Spark, Snowflake & Databricks. Nice to have: * Experience in AWS (EC2/S2/IAM). * Experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: * Flexible work * Healthcare including dental, vision, mental health, and well-being programs * Financial well-being programs such as 401(k) and Employee Share Ownership Plan * Paid time off and paid holidays * Paid parental leave * Family building benefits like adoption assistance, surrogacy, and cryopreservation * Social well-being benefits like subsidized back-up child/elder care and tutoring * Mentoring, coaching and learning programs * Employee Resource Groups * Disaster Relief About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

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.

Data Scientist/Growth Engineer - Growth-Focused Role at a Fast-Moving AI Startup San Francisco (Onsite) | Early-stage | High ownership Our client is a fast-scaling, founder-led AI startup backed by top-tier investors. They're building a high-output engineering team and looking for a Data Scientist to help drive growth through first-principles thinking and data-led strategy. This isn't a back-office analytics role - this is about being in the room where bets are made. You'll work directly with founders to shape GTM strategy, analyze user behavior, and help define the playbook for scale. What you'll do: Analyze customer and usage data to find patterns that guide outbound, marketing, and product focus. Work hand-in-hand with the GTM team to identify high-conviction opportunities and eliminate wasted motion. Build the dashboards and reporting infra that inform the leadership team's most critical decisions. Surface actionable insights fast - even when the data is messy, incomplete, or ambiguous. Help build a data-first culture across product, growth, and execs. You might be a fit if: You've done data science or analytics in a high-growth environment (ideally early-stage or startup). You're energized by helping a company find product-market fit and scale it. You've worked closely with sales, growth, or marketing teams before - and know how to translate insight into revenue. You're sharp with SQL, Python, and modern BI tools - but more importantly, you know how to ask the right questions. Bonus: you've seen zero-to-one growth before, and you're ready to do it again - faster. Why this role? You'll be one of the first data hires at a rocketship startup, with a direct line to the CEO and leadership team. Every insight you generate will inform how the company grows. You'll work in a sharp, in-person team where output matters more than credentials. Real equity. Real ownership. Real impact. We're moving fast on this one - reach out if you want to be considered.

Seeking Founding Data Scientists and Machine Learning Engineers Palladio AI | San Francisco Bay Area (Hybrid) Imagine Multiplying Your Impact You've unlocked major wins in your career - you've shipped models, moved key metrics, and proved what great data science and machine learning can do. You've bent the curve for products used by millions of people. Now, picture the idea of leveling up the entire app ecosystem by scaling your impact across many products and companies so every app in your pocket becomes smarter, more engaging, and more essential to the people who rely on it. You can help product teams iterate faster, delight users, and grow revenue, all because of the intelligence you build once and deploy everywhere. We know this ambition: we've done this again and again at places like Uber, Apple, Meta, Google, and Chime. We've had tens of billions of dollars of impact for products essential to billions of people, and we're ready to scale our impact to the next level. If this sounds like the next chapter you're looking for, read on. Why Palladio Exists Dashboards describe the past; teams need their next move . Palladio AI is the intelligence layer between raw data and decisive action, surfacing product opportunities that turn into real growth levers and guiding action so product teams iterate with confidence and velocity instead of sifting through noise. What You'll Shape Our team is building core systems in behavioral modeling, causal inference, forecasting, agentic platforms, and more. You'll help extend those domains: building ML and AI models to detect and surface product opportunities, shipping learning loops that improve themselves with every release. In short, you'll turn first-principles data science into a product that scales across industries. More than any technical challenge, you'll build a platform that helps real people make better decisions, turning data into clarity and clarity into progress. About You Craft and excellence. You dive into messy data, prototype quickly, and iterate until the insight sings. Impact mindset. 6+ years in production ML/DS; you balance scientific rigor with “it ships today, iteration on the way” pragmatism. Owner at heart. Zero-to-one energizes you; you'd rather set the standard than inherit one. Product voice. You can walk a PM through trade-offs as confidently as you tune a model. Customer-obsessed. You connect with the user's pain, measure success in user outcomes, and translate findings into product wins. Beginner's Mind. You stay hungry to learn, because better ideas are always out there. Our Team Our team has shaped the design, data, and systems behind some of the world's most iconic products. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Meta, Google, and Chime, and shipped products used by billions. We've had tens of billions of dollars of impact. Backed by top-tier investors, we're now channeling that experience into a focused, user-obsessed startup so every product team can tap the same class of intelligence at scale. Why Join Now This is the moment to have an outsized impact. You'll work directly with founders and early customers to define not just features but also the fundamental approach to how product intelligence should work. You'll see your ideas in production quickly, affecting real decisions for products used by millions. We're building a company that values clarity, craft, and impact. If those values resonate with you, we'd love to connect. Ready for the next level of impact? Reach us at ************************. Let's build breakthroughs together!

As a Senior Data Scientist, you will play a key role in empowering consumers and creating business value by designing, developing, and deploying intelligent solutions across a diverse range of clients including Financial Institutions, FinTechs, SMEs, Large Enterprises, and Government Agencies. You will focus on delivering "Certainty as a Service" through explainable and trustworthy models in domains such as lending, financial decisioning, management, and payments. Key Responsibilities: Design, develop, and deploy advanced machine learning and deep learning models for production use. Create consumable metrics, explainability frameworks, and confidence measures for decision-making solutions. Drive insights from complex and diverse datasets, including structured, unstructured, and time-series data. Work across Verification Services, Entity Resolution, Attribute & Temporal Analysis, and related platforms. Perform advanced error analysis, dimensionality reduction, and model interpretability assessments. Translate business problems into data science solutions in lending, credit scoring, and financial management. Collaborate with cross-functional teams to ensure successful deployment via Kubernetes, Docker, APIs, and event-driven architecture. Communicate findings clearly with both technical and non-technical stakeholders. Required Qualifications: Master's Degree or higher in Data Science, Computer Science, Information Systems, or a closely related field. A Ph.D. is preferred. 10+ years of commercial experience in Machine Learning / Deep Learning, including model development and deployment. Strong experience in Python for data science and software development. Solid foundation in: Natural Language Understanding (NLU). Computer Vision. Statistical Modeling Data Visualization. Classical and Advanced ML methods. Experience in model interpretability and explainability. Demonstrated ability to solve novel problems in the financial domain. Strong experience with Kubernetes, Docker, REST APIs, GraphQL, and event streaming. Excellent written and verbal communication skills. Preferred Qualifications: Exposure to credit risk modeling, risk evaluation, and financial decision systems. Experience in Finance or FinTech domains. Expertise in discrete, differential, deterministic, and probabilistic mathematical modeling. Advanced skills in Transformer models, Attention Mechanisms, PCA or other dimensionality reduction techniques. Strong background in Data Architecture, Query Optimization, and ML Ops. Familiarity with positive attribution techniques, decision science in lending, and attribute analysis.

* Design and implement scalable data pipelines and transformation primarily using Databricks. Nice to have experience on Microsoft Fabric tools such as Azure Data Factory, PySpark notebooks, Spark SQL, and Python. * Develop ETL processes to extract, transform, and load data from diverse sources into data warehouses or analytical systems within Databricks. * Optimize big data processing workflows to enhance performance and efficiency using Databricks capabilities. * Ensure data security and compliance with data privacy regulations throughout the data engineering process. * Collaborate with stakeholders to gather requirements and create technical solutions using Microsoft Fabric. Key Skills: * Proficiency in SQL and Python for data modeling and querying within Microsoft Fabric. * Experience with Databricks and Microsoft Fabric and its components like Azure Synapse, Data Lake, and Databricks. * Knowledge of data warehousing and data governance within the Fabric ecosystem. * Understanding of ETL development and data transformation processes using Fabric tools. * Familiarity with cloud-based data engineering solutions, particularly Azure Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: * Flexible work * Healthcare including dental, vision, mental health, and well-being programs * Paid time off and paid holidays * Paid parental leave * Family building benefits like adoption assistance, surrogacy, and cryopreservation * Social well-being benefits like subsidized back-up child/elder care and tutoring * Mentoring, coaching and learning programs * Employee Resource Groups * Disaster Relief About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

Data Scientist/Growth Engineer - Growth-Focused Role at a Fast-Moving AI Startup San Francisco (Onsite) | Early-stage | High ownership Our client is a fast-scaling, founder-led AI startup backed by top-tier investors. They're building a high-output engineering team and looking for a Data Scientist to help drive growth through first-principles thinking and data-led strategy. This isn't a back-office analytics role - this is about being in the room where bets are made. You'll work directly with founders to shape GTM strategy, analyze user behavior, and help define the playbook for scale. What you'll do: Analyze customer and usage data to find patterns that guide outbound, marketing, and product focus. Work hand-in-hand with the GTM team to identify high-conviction opportunities and eliminate wasted motion. Build the dashboards and reporting infra that inform the leadership team's most critical decisions. Surface actionable insights fast - even when the data is messy, incomplete, or ambiguous. Help build a data-first culture across product, growth, and execs. You might be a fit if: You've done data science or analytics in a high-growth environment (ideally early-stage or startup). You're energized by helping a company find product-market fit and scale it. You've worked closely with sales, growth, or marketing teams before - and know how to translate insight into revenue. You're sharp with SQL, Python, and modern BI tools - but more importantly, you know how to ask the right questions. Bonus: you've seen zero-to-one growth before, and you're ready to do it again - faster. Why this role? You'll be one of the first data hires at a rocketship startup, with a direct line to the CEO and leadership team. Every insight you generate will inform how the company grows. You'll work in a sharp, in-person team where output matters more than credentials. Real equity. Real ownership. Real impact. We're moving fast on this one - reach out if you want to be considered.