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

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 - Risk role involves developing key risk indicators and metrics, automating risk monitoring, and collaborating with cross-functional teams to analyze product risk.

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

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.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

Lead people analytics initiatives by combining HR, productivity, and market data to generate actionable insights on performance, retention, and organizational agility. Design research and assessment methods, build ML/NLP models, visualize results for executives, manage projects, and train HR stakeholders to scale data-driven solutions across the enterprise.

The role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

Lead the Data Science team to drive ML strategies, optimize ROAS, establish MLOps, and mentor talent. Collaborate cross-functionally to translate business needs into ML solutions.

The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.