Top Data Science Jobs in San Francisco Bay Area, CA

As a Staff Data Scientist, you'll provide insights using causal inference, lead forecasting efforts, and mentor team members while collaborating with executives.

The Senior/Staff Data Scientist will analyze healthcare data to derive insights, support internal teams with analytics, and lead data function standards and processes.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

This role involves defining and testing opportunities to influence decision-making through data analysis, collaborating with cross-functional teams, and developing actionable insights from people data.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with customer teams on analytics, improve product architecture, and refine ML algorithms.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

As a Senior Product Data Scientist, you'll partner with teams to lead product-focused statistical analysis, experimentation, and actionable insights using advanced models while collaborating cross-functionally to enhance product decisions.

The role involves analyzing product opportunities through data analysis and A/B testing to inform product strategies and success metrics. It includes collaboration with cross-functional teams and ensuring the integrity of data pipelines.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

The Data Scientist II will analyze data to aid product decisions, design experiments, assess user behavior, and communicate insights effectively. Responsibilities include defining metrics, running experiments, and building decision-ready assets.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

The Senior Marketing Data Scientist will drive data-driven decisions, develop marketing strategies, analyze performance, and collaborate with marketing teams to increase business growth through data analysis and experimentation.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.

Manage end-to-end Direct Mail campaigns, collaborate with marketing teams, analyze campaign effectiveness, and drive data-driven marketing strategies.

As a Staff Data Scientist, you'll lead data-driven projects, mentor team members, develop ML models, and collaborate cross-functionally to drive business insights and improve the personal loans segment.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

The role involves analyzing products, designing experiments to measure impacts, and enhancing data infrastructure for better decision-making in product development.

As a Growth Data Scientist at Notion, you'll analyze product changes to enhance user experience, identify growth opportunities, and work closely with cross-functional teams to drive data-driven strategies.

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.