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  • Staff Data Scientist

    I Did My Part and Supported The Regular Toilet

    Data engineer job in San Francisco, CA

    The opportunity We're seeking a highly skilled and proactive Staff Data Scientist to join our Experimentation Platform team. In this role, you will focus on building robust frameworks and tools that empower teams across the company to conduct experiments at scale. Your work will enable experimenters to design, execute, and interpret experiments using cutting-edge methodologies, while also improving the overall efficiency and accuracy of experimentation processes. In addition to guiding experimental design and analysis, you will define and implement methods for analyzing data, codified into scalable tools for widespread use. This position is ideal for someone with a deep understanding of experimentation, statistical methods, and an interest in creating standardized systems and tooling that democratize experimentation across an organization. What you'll be doing Enhance analysis methodologies: Explore and implement advanced methodologies - such as using covariates to augment analysis or improving statistical rigor - to ensure robust and reliable experimental results. Tool building and automation: Create intuitive tooling that allows teams to monitor, interpret, and understand the impact of their experiments without requiring deep statistical expertise. Design and analyze experiments: Partner with stakeholders to model and analyze key experiments, ensuring proper design (e.g., randomization, sample sizing) while providing insights into their results. Define best practices: Establish gold-standard approaches for experimental design, measurement, and analysis, including tradeoffs between statistical techniques such as frequentist, Bayesian, and causal inference. R&D for innovation: Research and implement cutting-edge techniques, such as uplift modeling, causal inference, and advanced A/B testing frameworks, into tools for broader use across the company. Collaborate with product and engineering teams: Work closely with engineers to integrate experimentation tooling into the company's platforms and systems, enabling seamless adoption and execution. Democratize experimentation: Set up educational resources, documentation, and dashboards that empower experimenters to confidently design, run, and understand their experiments using the platform. What we're looking for Background in Statistics, Mathematics, Computer Science, Data Science, or a closely related field. Strong expertise in designing, executing, and analyzing A/B tests, multivariate tests, and other experimental methodologies. Deep understanding of statistical methods for experimentation, including frequentist (e.g., t-tests, ANOVA), sequential testing and resampling methods. Proficiency in programming languages for data science (e.g., Python, R), including building data tools and libraries for experimentation workflows. Expertise in leveraging data analysis tools, such as SQL (or similar technologies) to investigate and identify root causes for unsuccessful experiments, ensuring insights are actionable and experimentation methodologies are continuously improved. Familiarity with the use of covariates, regression-based approaches, and causal inference techniques in experimental analysis. Demonstrated ability to partner with engineering teams to integrate data science workflows into scalable platforms. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for managing data pipelines and tools. You might also have Prior experience building or contributing to an experimentation platform or framework, especially within an organizational context. Expertise in building APIs, libraries, or interfaces to enable self-service experimentation. Prior exposure to ad tech platforms, including knowledge of campaign optimization, audience targeting, and attribution modeling. Knowledge of big data tools and technologies (e.g., Spark, Flink, BigQuery) for large-scale data analysis. Excellent communication and collaboration skills - able to convey statistical and technical concepts clearly to non-technical stakeholders. Additional information Relocation support is not available for this position. Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at *************. #SEN #LI-AR1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $168,900 - $321,600 USD #J-18808-Ljbffr
    $168.9k-321.6k yearly 3d ago
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  • Growth Data Scientist: Experiments & Revenue Impact

    Monograph

    Data engineer 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 3d ago
  • Staff Data Scientist

    Decagon Ai, Inc.

    Data engineer 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 14h ago
  • Staff Data Scientist

    Recruiting From Scratch

    Data engineer 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 3d ago
  • Staff Data Scientist: AI Cloud Analytics & Impact

    Epoch Biodesign

    Data engineer job in San Francisco, CA

    A leading AI infrastructure company in San Francisco seeks a Staff Data Scientist to drive impact across product analytics and operations. The role provides the opportunity to develop forecasting models, analyze cloud infrastructure, and ensure data quality. Ideal candidates will have strong analytical skills, proficiency in SQL and Python, and experience with data visualization tools. This full-time position offers a competitive salary range of $233,000 - $282,000 including stock options. #J-18808-Ljbffr
    $233k-282k yearly 4d ago
  • Data Scientist - Growth

    Pantera Capital

    Data engineer job in San Francisco, CA

    Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month-a number that's growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships. This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives. Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth. Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization. Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences. Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI. Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making. Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies. Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth. Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness. Qualifications Have 6-8+ years of experience working as a data scientist or related role with growth focus. Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization. Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker). Have experience designing, implementing, and analyzing A/B tests and statistical experimentation. Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration. Have experience with data modeling and pipeline development (e.g., dbt, Airflow). Preferred Qualifications Previous experience at a high-growth startup or early-stage company in a growth-focused data science role. Hands-on experience with dbt and data engineering/analytics engineering. Experience with Snowflake and modern data stack tools. Are comfortable with Python for data analysis and automation. Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems). Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks. The cash compensation range for this role is $200,000 - $250,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #J-18808-Ljbffr
    $200k-250k yearly 4d ago
  • Data Scientist, People Science

    Supportfinity™

    Data engineer job in San Francisco, CA

    Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences-all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science team at Roblox supports our Talent Acquisition organization and broader People, Places, & Systems group with applied statistics and data science. Our core mission is leveraging qualitative and quantitative data to drive decisions and optimize processes across the talent lifecycle. This is a hands‑on, stakeholder‑centric role focused on maximizing the operational efficiency of Recruiting. You will join a high‑impact group dedicated to translating complex data into clear, actionable tools and insights. Success means empowering our leadership to scale hiring efforts through data solutions that are not only accurate but also actionable and adopted. Role is based in our San Mateo, CA HQ and reports to Manager, People Data Science. You Will Deliver self‑service analytical products and reporting dashboards to recruiters and business leaders to enable data‑driven operational decisions. Leverage and contribute to the core data models owned by People Analytics, ensuring the underlying data logic is understood, accurately represented, and efficiently utilized in all downstream products. Partner with stakeholders to define key recruiting metrics and develop KPI dashboards that drive operational excellence across time‑to‑hire, sourcing effectiveness, and recruiter performance. Serve as a trusted advisor to Talent Acquisition leadership by translating complex cross‑functional data into clear, compelling narratives and actionable strategic recommendations. Conduct in‑depth analytical deep dives and scientific inquiry focused on optimizing operational processes, such as resource planning, funnel efficiency, and forecasting hiring needs. Drive the adoption of new visualization and analytics tools (e.g., Hex) by training and enabling recruiters and leaders to effectively leverage the data products you build. Support data governance and improve data processes in partnership with People Analytics and Recruiting Operations to ensure the reliability and quality of our core recruiting datasets. You Have 5+ years of professional experience in a Data Analyst, People Analytics, or Business Intelligence role, with a strong focus on data visualization and reporting. A Master's degree in a quantitative field such as Statistics, Economics, Business Analytics, or a related discipline, OR equivalent demonstrated experience. Expert‑level proficiency in SQL for querying, wrangling, and optimizing large datasets, including Common Table Expressions (CTEs) and window functions. Strong proficiency in data analysis and scripting using Python or R (expertise in at least one is required) for data wrangling, modeling, and reporting. Proven ability to design high‑impact, user‑friendly data visualizations using Business Intelligence software such as Tableau, Looker, or similar. Exceptional communication and stakeholder management skills, with a track record of simplifying complex data for senior, decision‑making audiences. Prior experience in Talent Acquisition or People Analytics is highly preferred. You Are Committed to clarity. You provide clarity through all your work products: your code, your documentation, your project plans, your visualizations, your presentations, and your strategic recommendations. Systematic and efficient. You don't like to solve the same problem twice, and you are always on the lookout for reusable solutions. You create well‑documented systems and procedures rather than approaching each new problem in isolation. Curious and skeptical. With a new dataset or business question, you are driven to explore relationships and constantly ask yourself why a particular result is occurring. Impact‑focused. You are keenly aware that the true value of data lies in its adoption, and you prioritize stakeholder enablement and tool usability to ensure your work drives measurable business outcomes. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job‑related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full‑time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $194,770-$238,600 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. #J-18808-Ljbffr
    $194.8k-238.6k yearly 4d ago
  • Staff Data Scientist

    Windfall Data, Inc.

    Data engineer job in San Francisco, CA

    At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models. We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go‑to expert for our most complex modeling challenges. You will be a hands‑on‑keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production‑grade code that elevates the technical bar for the entire team. Your work will be directly applied, as you collaborate closely with customers to develop a range of models-from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end‑to‑end ML solutions that deliver immense value to our clients. Responsibilities Architect and Own Modeling Solutions: You will lead the design and own the end‑to‑end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long‑term performance monitoring. Synthesize Diverse Datasets: You will become an expert at blending first‑party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models. Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team. Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries. Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non‑technical stakeholders. Requirements 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion. Deep, expert‑level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering. Mastery of Python and its data science ecosystem. Expert‑level SQL skills, with the ability to write optimised queries against large‑scale datasets. A strategic, product‑driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes. Hands‑on experience with the engineering aspects of data science, including proficiency with Docker for containerisation and experience building and deploying data pipelines. Eligible to work within the United States. Preferred Qualifications Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining. Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow). Experience working in marketing analytics, ad‑tech, fintech, or for a nonprofit organisation. A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. $200,000 - $230,000 a year The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site. California: Salary range is $200,000 - $230,000 + Equity About Windfall Windfall is a people intelligence and AI company that gives go‑to‑market teams actionable insights. By democratising access to people data, organisations can intelligently prioritise go‑to‑market resources to drive greater business outcomes. Powered by best‑in‑class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organisation. More than 1,500 data‑driven organisations use Windfall to power their business. For more information, please visit ***************** We comply with CCPA. For more information on how we comply, review our privacy notice. #J-18808-Ljbffr
    $200k-230k yearly 1d ago
  • Staff Data Scientist

    Cervin

    Data engineer 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 1d ago
  • Principal Data Scientist

    Tend

    Data engineer job in San Francisco, CA

    The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 7+ years of experience in data analysis software, with data science experience preferred. 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. #J-18808-Ljbffr
    $157.3k-212.8k yearly 3d ago
  • Principal Data Scientist, AI & Anomaly Detection

    Cisco Systems 4.8company rating

    Data engineer job in San Francisco, CA

    A leading global technology company in San Francisco seeks a senior software engineer with expertise in anomaly detection and machine learning. You will lead projects to develop scalable cloud-based solutions, collaborating with teams and mentoring others in advanced AI techniques. A PhD or equivalent experience is essential, along with proven leadership in cloud architecture. The role offers a competitive salary and extensive benefits including paid time off and flexible working arrangements. #J-18808-Ljbffr
    $128k-161k yearly est. 14h ago
  • Applied Data Scientist - Finance/Trading Analytics

    The Voleon Group 4.1company rating

    Data engineer job in Berkeley, CA

    A leading financial technology firm is looking for an entrepreneurial Data Scientist to build data analysis frameworks. This role involves harvesting insights from complex data and requires 1+ years of experience with datasets. Responsibilities include ensuring data correctness and performing analyses on trading systems. The base salary ranges from $150,000 to $190,000, complemented by a comprehensive benefits package including medical coverage and paid time off. #J-18808-Ljbffr
    $150k-190k yearly 2d ago
  • Data Scientist

    Menlo Ventures

    Data engineer 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 3d ago
  • Data Scientist - Customer Growth & Experience Analytics

    Rippling

    Data engineer 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 1d ago
  • Data Scientist: On-Chain Analytics for DeFi Credit

    Divine 3.8company rating

    Data engineer job in San Francisco, CA

    A financial technology company in San Francisco is looking for a Data Scientist to enhance their data infrastructure and extract insights. The ideal candidate has over 4 years of experience, proficiency in Python and SQL, and a solid understanding of smart contract data. This role involves designing key metrics, building data pipelines, and conducting analyses to improve the lending system. Offers competitive compensation and growth opportunities. #J-18808-Ljbffr
    $123k-171k yearly est. 1d ago
  • Data Scientist

    Arcade 4.6company rating

    Data engineer 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. 14h ago
  • Data Scientist, Product

    Openai 4.2company rating

    Data engineer job in San Francisco, CA

    Data Science - San Francisco and Seattle Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr
    $124k-169k yearly est. 1d ago
  • Data Scientist - TV Ad Effectiveness & Modeling

    EDO) Entertainment Data Oracle, Inc.

    Data engineer 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. 3d ago
  • Early Career Data Scientist/Economist

    Evenup

    Data engineer 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. 4d ago
  • Staff Data Scientist, Growth - AI & Personalization

    Airwallex Pty Ltd.

    Data engineer job in San Francisco, CA

    A global financial platform company is looking for a Staff Data Scientist to work closely with Growth and Marketing teams. This role involves the design and deployment of impactful data science solutions to enhance customer acquisition, engagement, and retention strategies. Candidates should have over 7 years of experience in machine learning, a strong educational background in quantitative fields, and the ability to communicate insights to various stakeholders. Join the team to make a significant impact in building the future of global banking. #J-18808-Ljbffr
    $108k-155k yearly est. 1d ago

Learn more about data engineer jobs

How much does a data engineer earn in Martinez, CA?

The average data engineer in Martinez, CA earns between $94,000 and $184,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Martinez, CA

$131,000

What are the biggest employers of Data Engineers in Martinez, CA?

The biggest employers of Data Engineers in Martinez, CA are:
  1. Milliman
  2. Pacific Service Credit Union
  3. Pacific Service Cu
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