Top Senior Data Science Jobs in San Francisco Bay Area, CA

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.

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.

As a Staff Data Scientist, you'll partner with the CEO, analyze macroeconomic impacts, leverage AI for insights, and mentor juniors while developing data products.

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

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 Data Scientist will develop predictive models, apply machine learning for marketing initiatives, and optimize growth strategies by collaborating with cross-functional teams to drive customer acquisition and retention.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

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 Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The Sr. Data Scientist will enhance loss forecasting methodologies, analyze large data sets, and provide insights to stakeholders while automating processes.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Senior Data Scientist will leverage data to inform product strategy and business decisions, conduct analysis, build models, and support stakeholders through data-driven insights.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

The Senior Data Scientist will analyze marketing performance, develop reports, collaborate with teams, and provide data-driven insights to enhance marketing strategies and drive business growth.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

As a Staff Product Data Scientist, you will analyze product usage, define metrics, derive insights, and influence product strategy and decision-making.

The Data Scientist at Cantina will define success metrics, analyze data, build models, and foster a data-driven culture across teams.

As a Lead Growth Data Scientist, you will develop measurement frameworks to guide growth decisions in AI-powered search, analyze brand visibility, and provide actionable insights to marketing leaders.

As a Data Scientist focusing on unit economics, you'll develop models to analyze customer LTV, guide pricing strategies, and collaborate with various teams to drive business decisions based on economic insights.

As a Staff Data Scientist, you will transform large-scale data into insights, define metrics, and support product decisions while collaborating with cross-functional teams.