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Data scientist jobs in San Francisco, CA - 3,117 jobs
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Data Scientist
Senior Data Scientist
Staff Forward Deployed Data Scientist/Engineer
Scale Ai, Inc.
Data scientist job in San Francisco, CA
At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting‑edge, customer‑facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real‑world applications for industry‑leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e‑commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data‑driven solutions and robust statistical models. End‑to‑End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high‑quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real‑world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting‑edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer‑facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high‑quality data products, models, or features at scale. Strong problem‑solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert‑level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit‑learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non‑technical audiences. Desire to thrive in a fast‑paced, dynamic environment and adapt quickly to the ever‑changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client‑facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large‑scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud‑based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $228,800 - $286,000 USD PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr$228.8k-286k yearly 4d agoStaff Data Scientist
Decagon Ai, Inc.
Data scientist job in San Francisco, CA
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human‑like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in‑office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Role As a Data Scientist at Decagon, you'll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You'll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance. You'll work across Engineering and Product to establish robust measurement practices, expand the use of data‑driven decision making, and uncover insights that shape Decagon's trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels. In this role, you will Conduct deep‑dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights. Enhance and extend Decagon's data models, metrics, and dashboards to ensure consistent, scalable reporting across teams. Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience. Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles. Build and continuously improve Decagon's data stack, ensuring scalable models, pipelines, and tools that empower self‑serve analytics across the company. Communicate findings clearly and persuasively to executives and cross‑functional stakeholders, influencing strategic decision‑making. Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM‑based systems), helping the team reason through trade‑offs, limitations, and business implications of model‑driven decisions. Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business. What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high‑scale consumer or marketplace products. Ability to reason about and analyze machine learning models, understanding their assumptions, trade‑offs, and impact on product and customer outcomes. A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams. Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $250k - $300k + equity #J-18808-Ljbffr$250k-300k yearly 3d agoGrowth Data Scientist: Experiments & Revenue Impact
Monograph
Data scientist job in San Francisco, CA
A leading software company in San Francisco is seeking a Growth Data Scientist to drive improvements in user experience and revenue through data analysis and experimentation. The ideal candidate has strong SQL skills, familiarity with Python or R, and experience in building predictive models. This position offers a competitive salary range from $200,000 to $300,000 annually and emphasizes in-person collaboration on designated days. #J-18808-Ljbffr$200k-300k yearly 6d agoStaff Data Scientist
Recruiting From Scratch
Data scientist job in San Francisco, CA
We are a third-party recruiting partner representing a fast-growing enterprise AI company building production-grade conversational agents used by well-known brands. Backed by top-tier investors and recently funded at Series C, the company is scaling quickly and is investing in a world-class data function to drive product strategy and measurable business impact. What You Will Do Lead the design, implementation, and interpretation of rigorous experiments (A/B and multivariate) to inform product and customer experience decisions. Perform deep-dive analyses on user behavior, product performance, and business outcomes; translate findings into clear recommendations. Define and evolve core metrics, data models, and dashboards to ensure consistent, trustworthy reporting across teams. Partner with Product, Engineering, and leadership to embed measurement best practices into development cycles and launch reviews. Evaluate and help reason about machine-learning systems (including LLM-based features): clarify assumptions, trade-offs, and business implications. Contribute to the modern analytics stack (e.g., pipelines, modeling, and self-serve tools) that empowers company-wide decision-making. Communicate insights to executive and cross-functional audiences in a concise, persuasive way. Ideal Candidate Background 5+ years of experience in data science or product analytics with a track record of driving measurable product impact. Advanced proficiency in SQL and Python, and strong foundations in statistics and experimental design. Demonstrated experience designing, running, and analyzing experiments at scale for consumer, marketplace, or enterprise products. Ability to analyze and interpret ML model behavior, limitations, and impact on user outcomes. Excellent communication and stakeholder management skills; comfortable influencing product direction. Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent practical experience. Ability to work on-site in San Francisco (five days per week). Preferred Experience building/maintaining analytics data models and metrics layers (e.g., dbt) and orchestrating pipelines (e.g., Airflow). Familiarity with modern warehouses/BI (e.g., Snowflake/BigQuery, Looker/Mode) and large-scale data processing (e.g., Spark). Prior work evaluating LLM or recommendation systems and developing evaluation frameworks for AI/ML features. Background in high-scale products with strong experimentation cultures. Experience mentoring other analysts/scientists and elevating experimentation/measurement practices. Compensation, Benefits, and Other Details Base Salary: $250,000-$300,000, based on skills, experience, and interview performance. Equity: Role is equity-eligible. Benefits: Our client offers a comprehensive benefits package that may include medical, dental, and vision coverage, paid time off, parental leave, retirement savings options, and commuter support. Specifics will be discussed during the interview process. Work Authorization: Candidates of all backgrounds are encouraged to apply. Work authorization and any sponsorship availability will be discussed confidentially with the recruiting team. #J-18808-Ljbffr$250k-300k yearly 6d agoStaff Data Scientist
Epoch Biodesign
Data scientist job in San Francisco, CA
Employment Type Full time Department Cloud Engineering Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Staff Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, financial forecasting, and product analysis to drive strategic decisions. Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. Champion Data Quality & Infrastructure: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You'll Bring to the Team: Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. Commitment to Quality: Show a proven track record and passion for data quality. Ownership: As an early hire on the data science team, you'll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $200 per month Compensation: Compensation will be paid in the range of $233,000 - $282,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr$233k-282k yearly 2d agoStaff Data Scientist
Insight Global
Data scientist job in Sunnyvale, CA
JOB TITLE: Staff Data Scientist DURATION: Full-time Key Responsibilities: Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast. Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting. Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts. Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions. Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines. Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray). Act as technical lead on multiple projects, balancing research rigor with business delivery. Must Have Requirements: Strong foundation in Causal Inference, Statistical Analysis, and advanced Machine Learning methods Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios. Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions. Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries. Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Plusses: Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods). Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring. Timeseries - will be working on it but can learn on the job Job Description: Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, we offer an extensive selection that our customers value, whether they shop online , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.$107k-155k yearly est. 2d agoData Scientist - All Levels (Manager, Principal, Staff)
Holistic Partners, Inc.
Data scientist job in Sunnyvale, CA
Job Title: Data Scientist - All Levels (Manager, Principal, Staff) Bentonville, AR (relocation package available only for Bentonville) Duration: Full Time IV Process: Pre-screening Three virtual client rounds (plus an additional round for Manager level) Multiple interviews can be scheduled in one day Positions Available (Exclusive): 1 Manager of Data Science 1 Principal Engineer of Data Science 3 Staff Engineers of Data Science Core Must-Have Skills Across All Levels Generative AI (Gen AI) Large Language Models (LLM, GPT, BERT, RAG) Time Series Modeling / Forecasting Prompting & Fine-Tuning Managerial/leadership experience per level (Manager → mid-size team, Principal → top of team, Staff → lead-level experience) Role-Specific Job Description Manager of Data Science Responsibilities: Lead a team of data scientists and ML engineers Build and deploy Gen AI and traditional ML applications for Walmart Finance Drive cross-functional projects in NLP, LLM, timeseries forecasting, and recommendation systems Maintain technical and business knowledge, mentor team members Requirements: Experience managing mid-size internal team of DS/MLEs Experience in NLP, LLMs, timeseries, traditional ML for retail/e-commerce Strong organizational, interpersonal, and cross-functional collaboration skills Principal Data Scientist Responsibilities: Develop LLM-powered intelligent systems (Q&A, recommendations, autonomous agents) Collaborate cross-functionally with DS, MLEs, UX, and product teams Deploy scalable AI/ML solutions, mentor junior DS Contribute to internal/external AI/ML research Requirements: Proven deployment of high-risk NLP applications in production Strong ML foundations (statistics, optimization, DL) Advanced proficiency in Python, ML/DS libraries, deep learning frameworks Familiarity with ML infra (Kubeflow, MLflow, Airflow) Bonus Skills: Text-to-SQL/Text-to-Cypher, recommender systems, fine-tuning LLMs, publications in top-tier ML/NLP venues Staff Engineer of Data Science Responsibilities: Lead data-driven projects for Finance using LLMs/Gen AI Build, deploy, and productionize AI/ML solutions for large-scale applications Collaborate cross-functionally with stakeholders and business owners Requirements: Master's/PhD in Statistics, Analytics, CS, or related field with 5+ years experience Hands-on experience with LLMs, Gen AI ecosystems (GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet) RAG, AI agent development, LangChain, LangGraph Strong solution architecture mindset and problem-solving skills Nice-to-Have: Big Data/Spark experience, Cloud ML (GCP, Azure), GPU DL training Behavioral Qualifications: Adaptable, problem-solver, technically strong, collaborative, able to manage multiple priorities$107k-155k yearly est. 4d agoGrowth Data Scientist - Scale Growth Analytics (Equity)
Pantera Capital
Data scientist job in San Francisco, CA
A leading technology firm in San Francisco is seeking an experienced Data Scientist to accelerate growth initiatives. This role involves collaborating with various teams to provide data-driven insights, performing deep analyses on user behavior, and designing A/B tests. The ideal candidate has 6-8 years of experience, proficiency in SQL, and is experienced with BI tools. The cash compensation ranges from $200,000 to $250,000, with additional equity considerations. #J-18808-Ljbffr$200k-250k yearly 2d agoStaff Data Scientist
Cervin
Data scientist job in San Francisco, CA
Arkestro's Predictive Procurement accelerates enterprise spend transformation, using AI and game theory to unlock trapped savings and reduce risk, enabling teams to influence significantly more spend. By combining AI with deep Negotiation Science, Supplier Science, and Process Science procurement teams can improve win-rates while strengthening supply chain agility. As a fast-growing tech company, we're looking for builders and innovators - people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful. We believe in egoless execution and we are looking for people who will work together to solve hard problems. If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro! See Arkestro in action at arkestro.com. About this Role We are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for our enterprise customers. The Staff Data Scientist will work closely with data engineers, senior stakeholders, and other data scientists to design and implement scalable data pipelines, data algorithms, and ML models. You will take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions. The role requires strong technical skills, business acumen, and the ability to effectively communicate with both technical and non-technical stakeholders across the organization. Responsibilities Leading Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teams Participate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibility Build and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmap Present complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisions Own the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadership Set clear expectations and clearly communicate project statuses to stakeholders throughout the company Foster a culture of continuous learning through mentorship of junior data scientists and sharing of best practices Building Design, prototype, and productionize machine learning models to optimize procurement processes Build and deploy AI systems into the procurement workflow, including robust eval frameworks Collaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deployment Define and evolve Data Science processes and practices Keep a startup mindset: ship early and collect feedback sooner than later Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI Necessary Qualifications 6+ years experience in data science or related quantitative field Strong expertise in machine learning, statistics, and data modeling Proficiency (6+ years experience) in Python and SQL Experience with AWS, Snowflake, dbt or similar cloud data stack Proven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing priorities Track record of leading cross-functional initiatives with measurable organizational impact beyond a single team BS/MS in Computer Science, Statistics, Applied Math or related field Ideal Qualifications Demonstrated ability to mentor and elevate technical talent across teams, not just direct reports PhD in quantitative field Experience applying ML to procurement/supply chain data Knowledge of game theory and mechanism design Technologies and tools we use Data Motion: Snowflake, dbt, Pinecone, OneSchema ML and DS: Python, pandas, SQLAlchemy, Pydantic Workflow and Deployment: Github, AWS, Datadog, Code Climate Documentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google Workspace Pay Range $190,000 - $220,000 USD Benefits Competitive salary and startup equity Medical, Dental, Vision insurance premiums covered up to 100% (employee only) 401K discretionary matching Unlimited PTO A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits Annual budget of $1,000 for learning and professional development Diverse, inclusive, highly collaborative, and vibrant culture Equal Opportunity Employer Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Disclaimer Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice. #J-18808-Ljbffr$190k-220k yearly 4d agoData Scientist
Fable Security, LLC
Data scientist job in San Francisco, CA
About Fable Security AI-driven threats and human error are today's biggest enterprise security risks. Cybercriminals don't hack systems-they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business - at scale. Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity's biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, and USC. We are experiencing explosive growth, making this an career-defining opportunity to join and shape the future of security. Why Join Fable as a Data Scientist? Work closely with co-founders with a strong background in data science. Help invent a new category in cybersecurity, solving problems no one else has tackled before. Build products that integrate AI and data science at their core. Join a small, fast-moving team poised to double in size within the next year. Your Role As the first Data Scientist, you will play a critical role in shipping our core product. You will go deep into raw data from various APIs to generate insights into risky behavior, create models to predict risk factors and identify risky individuals, and use AI to develop products that incorporate these signals. You will work cross-functionally with engineers, product managers, and security experts to drive data-powered decision-making and innovation. Responsibilities: Expand the core product capabilities of Fable's risk analysis engine. Go deep into APIs, understand raw data, and identify insights that highlight risky behaviors. Track emerging security threats and develop new indicators of employee risk. Utilize behavioral analytics and risk modeling to improve security outcomes. Implement new risk attributes and cohorts directly into production code. Experiment with new AI tooling - leverage cutting-edge AI to create new data products, generate threat intelligence and predictive security insights. Develop ML models and analytics on employee behavior data to further enhance risk assessment. Your SkillsetMust-Have: Recent experience in a startup environment strongly preferred 3-7 years of experience in data science, ML, or AI-driven product development. Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong background in behavior analytics, predictive modeling, NLP, or anomaly detection Experience building and deploying data products at scale Ability to translate business problems into data-driven solutions. Nice-to-Have: Experience with cybersecurity, fraud detection, or risk modeling. Familiarity with GenAI and LLMs. Prior experience at an early-stage startup. Experience in data engineering and pipeline automation. How We Work We work from our San Francisco office three days a week, fostering collaboration and deep focus. We emphasize mutual trust, high execution, and delivering differentiated product experiences. We prioritize impact - every team member plays a key role in shaping our success. Apply Now Join us in reinventing cybersecurity for humans with AI and data science. Let's build something incredible together. The estimated salary range for this position is estimated to be $160,000 - $220,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. Fable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. #J-18808-Ljbffr$160k-220k yearly 3d agoData Scientist
Menlo Ventures
Data scientist job in San Francisco, CA
Employment Type Full time Department Engineering, product, & design Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we're passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We're a small-but-mighty team of 70+ based in Manhattan's Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (featured in TechCrunch) led by Christine Esserman, following a previous $20mil Series A from Peter Levine at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner (founder of GitHub), Sam Lambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge (creator of React), and many more. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you'll have as a part of our early team. Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can't wait to see what you'll add to the mix! About the Role Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth. What you'll do Analyze our data (10TB) and help us answer data-driven questions; Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization; Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift; Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization; Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions; Develop and implement data quality and data governance standards to ensure data accuracy and consistency; Work with stakeholders to understand their data needs and translate them into technical requirements; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment. Life at Graphite Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses! The team that eats together. Company-paid lunch, snacks, and coffee during workdays. Commuter perks. Ride around NYC on us! As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you're concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite! #J-18808-Ljbffr$160k-200k yearly 6d agoData Scientist - Customer Growth & Experience Analytics
Rippling
Data scientist job in San Francisco, CA
A technology company based in San Francisco is seeking a Data Scientist to enhance customer experience and retention. The ideal candidate will work with cross-functional teams, employing data analysis to influence decision-making and improve customer satisfaction. Applicants should hold a Master's degree and have strong skills in SQL and Python, along with experience in business intelligence tools. This position offers a competitive salary range from $108,000 to $189,000 annually. #J-18808-Ljbffr$108k-189k yearly 4d agoApplied Product Data Scientist - Growth & Experiments
Openai
Data scientist job in San Francisco, CA
A leading AI research firm in California seeks a Data Scientist to enhance product development through data-driven insights. The role involves defining metrics, executing A/B tests, and collaborating with teams to answer data questions. Ideal candidates will have strong SQL and Python skills and a track record of navigating ambiguous environments. The position offers a hybrid work model with relocation assistance. #J-18808-Ljbffr$124k-169k yearly est. 4d agoData Scientist
Arcade
Data scientist job in San Francisco, CA
Arcade is building the world's first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we're building the infrastructure to make that real. We've raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke. Arcade is headquartered in San Francisco's Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We're pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we're building fast. Role Summary We are seeking an analytical, entrepreneurial Data Scientist to lead Arcade's analytics, experimentation, and data science capabilities. This is a highly cross‑functional role that combines business analytics, product experimentation, and data platform leadership. The ideal candidate is passionate about data‑driven decision‑making, hands‑on analysis, and building tools that help guide business and product strategy. You will work directly with Arcade's leadership team-including Product, Go‑To‑Market, and Operations-to translate strategic objectives into measurable insights, models, and dashboards. You will own the company's data stack, ensuring the reliability and scalability of our analytics infrastructure. This role is based at Arcade's headquarters in the Presidio, San Francisco (4-5 days per week on‑site). Responsibilities Manage all aspects of Arcade's analytics, testing, and business intelligence initiatives Partner with business leadership to design and maintain KPIs that govern company performance and resource allocation Lead the design, implementation, and interpretation of A/B tests to inform product and marketing decisions Develop and automate dashboards and reporting systems; train business users to self‑serve insights Build scalable analysis frameworks to support Arcade's AI‑driven product design and commerce platform Collaborate with Product Management, Go‑To‑Market and Operations teams to develop tools and models that guide business operations Conduct ad‑hoc strategic and financial analyses to support the CEO and Chief of Staff in company‑wide planning and decision‑making Ensure best practices in data quality, experimentation methodology, and statistical rigor Experience 2-3 years of experience in a data science, analytics, or business intelligence role Proficiency in SQL and Python; strong experience using Jupyter notebooks for analysis and presentation Demonstrated experience designing and analyzing A/B tests and other causal inference methods Hands‑on familiarity with Hex, Tableau, or Looker-must have experience building user‑facing dashboards Experience with BigQuery and the Google Cloud data ecosystem preferred; experience with any major cloud analytics platform required Strong understanding of data modeling, ETL pipelines, and data warehouse architecture Experience building predictive or statistical models that directly inform product, marketing, or business outcomes Excellent communication skills, with the ability to synthesize complex quantitative findings into clear, actionable recommendations for non‑technical stakeholders Nice to Have Experience in e‑commerce, marketplaces, or AI‑driven product platforms Familiarity with dbt, Retool, or modern data stack tools Experience integrating analytics into workflow tools and operational decision‑making Strong business intuition and ability to connect analytical insights to strategic priorities Qualifications Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative field Strong analytical and problem‑solving skills with high attention to detail Demonstrated ability to operate independently and thrive in a fast‑paced startup environment Proven ability to work cross‑functionally and influence through data and insight Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities, and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. #J-18808-Ljbffr$123k-171k yearly est. 3d agoData Scientist - AI
Promise
Data scientist job in San Francisco, CA
Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting‑edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open‑source projects, fine‑tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine‑tune, and evaluate ML models and LLMs for real‑world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open‑source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands‑on experience with model training, fine‑tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail‑oriented, rigorous, and adaptable-comfortable navigating a high‑impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission‑driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in‑person collaboration and are in‑office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non‑discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. #J-18808-Ljbffr$123k-171k yearly est. 2d agoPrincipal Data Scientist
Tarana Wireless Inc.
Data scientist job in Milpitas, CA
Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for anexceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross‑functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning. Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit‑learn). Proficiency in SQL and experience working with large‑scale datasets and distributed computing frameworks (Spark, Dask). Demonstrated experience deploying models to production and monitoring model performance. Demonstrated cross‑functional experience with diverse teams across the organization. Excellent communication skills with the ability to explain complex technical concepts to non‑technical audiences. Strong business acumen and ability to connect data science work to organizational objectives. Experience mentoring and developing junior team members. Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices. Track record of publishing research or contributing to open‑source projects. Experience with A/B testing and causal inference methodologies. Knowledge of data engineering principles and ETL processes. Leadership experience in managing or leading data science teams. What we offer: We don't just build next‑gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next‑generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game‑changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** #J-18808-Ljbffr$200k-260k yearly 4d agoData Scientist - TV Ad Effectiveness & Modeling
EDO) Entertainment Data Oracle, Inc.
Data scientist job in San Francisco, CA
A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr$108k-155k yearly est. 6d agoPrincipal Data Scientist, Healthcare AI & ML
Tend
Data scientist job in San Francisco, CA
A healthcare technology company in San Francisco is seeking a Principal Data Scientist to develop predictive models aimed at optimizing patient outcomes and operational efficiency. This role requires over 7 years of experience in data analysis, with hands-on expertise in Python and machine learning. The ideal candidate will work with emerging AI technologies to improve healthcare delivery. Competitive compensation is offered, along with substantial health benefits and a positive work culture. #J-18808-Ljbffr$108k-155k yearly est. 6d agoData Scientist / Cientista de Dados
Geoworld
Data scientist job in San Francisco, CA
Fugro's innovation teams are responsible for carrying out developments serving both internal users and Fugro clients. With Innovation centers in Canada, Brazil, USA, and other key locations around the world, you will be joining a global innovation group with a tradition of developing best‑of‑class applications in the Geo‑data space. Our engineers are experts in domains such as spatial data, cloud computing, deep learning, and process automation. As a Data Scientist at Fugro, you will work at the forefront of applied AI and machine learning, shaping the future of intelligent productivity tools within Fugro. We are looking for talented individuals who have a passion for understanding what makes an AI solution work and how to measure its performance, driven by curiosity and a desire to impact, transforming complex data into tangible improvements and new innovative products. What You Will Do Develop and maintain high‑quality software during its lifecycle; Research, design, and implement machine learning models to enhance our data solutions; Work closely with engineers and product managers to bring AI models from prototype to production; Implement software projects using Python and C#, or similar technologies; Ensure regular communication with other developers and teams involved in the development process; Implement, test, and perform system and functionality corrections (bug fixes); Act as a member throughout the delivery process of agile methodologies using Scrum; Build and maintain efficient and reliable/stable source code; Collaborate with team members at all stages, from prototype, production and implementation/progress throughout the project; Solve complex real‑world challenges effectively, efficiently and creatively; Act as a quality keeper by documenting code, processes, architectural decisions, increasing code coverage continuously. Please submit your resume/CV in English What We Are Looking For Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related fields 6+ years of experience coding with Python and/or C#; Proven experience with scikit‑learn, pandas, and other data‑related frameworks; Experience with API development; Solid understanding of database concepts and SQL; Familiarity with cloud platforms (e.g., AWS) and GitHub; Familiarity with Agile development methodologies; Excellent problem‑solving and analytical skills; Actively integrate AI tools and techniques to accelerate development cycles and improve software quality; At least Upper‑Intermediate level of spoken and written English. Bonus Points Cloud Certifications, preferably AWS; Familiarity with GitHub and GitHub Actions; Previous experience working with geospatial data. How We Work At Fugro We believe in alignment, autonomy, and personal accountability throughout the product life cycle. Our collaborative work environment blends the flexibility of remote work with in‑office collaboration, fostering a culture built on trust. About Fugro Fugro is the world's leading independent provider of geo‑intuition and asset integrity solutions for large construction, infrastructure, and natural resources. We collect and analyze data about the Earth and the structures built upon it, providing comprehensive information and advice to our clients to help them make better decisions about their assets and projects. We rely on innovation to push the transition toward net‑zero carbon, safe infrastructure, and climate resilience to deliver on our promise to create a safe and livable world. Why would you join us? International Geo‑data environment - We work for and with the entire world. We work hard to create and maintain an inclusive culture. Challenging projects and exciting opportunities - We are ahead of the curve and have the best projects to work on. In addition, exciting opportunities arise around the world every day. Freedom to grow faster - If you are prepared to take the initiative, ample opportunities locally or worldwide await you at Fugro. Disclaimer for recruitment agencies Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated. #J-18808-Ljbffr$108k-155k yearly est. 4d agoEarly Career Data Scientist/Economist
Evenup
Data scientist job in San Francisco, CA
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at ****************** About the team: The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting. We are looking for a curious, impact-driven early career Economist / Data Scientist to join our fast-paced, data-driven team. You'll work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization. You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business, and shape the way we use economics and data science to drive long-term value. The ideal candidate for this role may be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to data management and data science. More senior candidates are also welcome to apply. Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto. What You'll Do Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities Partner with Product, and Ops teams to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling and experimentation design Develop forecasts for ARR, conversion, churn, and usage using economic and behavioral data Collaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision support What We're Looking For We're looking for someone with deep expertise in both economics and applied data science with the ability to frame business questions into well-scoped analytical or modeling problems. Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality Strong verbal and written communication skills - ability to distill complex findings from models and economic reasoning into compelling insights and communicate effectively with technical and non-technical audiences Bonus Points Prior full time or intern experience in SaaS or B2B subscription businesses and/or in the legal domain Familiarity with experimentation platforms (e.g., Optimizely, internal tools) and BI tools (e.g., Looker, Tableau) Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page evenuplaw.com/careers or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑****************** email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at *****************************. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr$108k-155k yearly est. 2d ago
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How much does a data scientist earn in San Francisco, CA?
The average data scientist in San Francisco, CA earns between $91,000 and $183,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.
Average data scientist salary in San Francisco, CA
$129,000
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