Top Data Science Jobs in San Francisco Bay Area, CA

As a Data Scientist, you will enhance product development using analytical skills, data analysis, and cross-functional collaboration to improve customer financial security.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

The Data Scientist will develop analytical insights, machine learning models, and data-driven strategies to enhance Unison's equity sharing platform and overall portfolio performance.

The Data Scientist for ChatGPT for Work will use data to shape product strategy, define success, and drive improvements in adoption and retention, partnering with various teams for insights and experiments.

As a Data Scientist in the API team at OpenAI, you'll define key metrics, identify developer friction, and translate data into product decisions. Collaborating with various teams, you'll enhance data quality and create dashboards to improve platform reliability and usability.

The Data Scientist will develop advanced geospatial models for logistics, improving delivery through data insights, and collaborate with teams on operational strategies.

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 Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Bioinformatics Software Engineer, you will develop and improve bioinformatics pipelines for single-cell data, collaborating with teams and enhancing software solutions to streamline data analysis.

As a Data Scientist, you will lead complex analyses, develop expertise in marketing mix modeling, coach teams, and contribute to software code and automation in ML workflows.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Data Scientist will lead a team, design solutions using Databricks, analyze data models, and support IT modernization efforts.

The Data Scientist will facilitate the adoption of NEXUS by deploying use cases in production, benchmarking, collaborating on product insights, and managing customer relations across stakeholders.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The role involves analyzing multi-factorial data for safety profiling of drug candidates, developing computational tools, and collaborating across teams to enhance drug development processes.

As the founding Recommendation Data Scientist, you will develop and implement music discovery systems, conduct experiments, and collaborate with teams to enhance user experience and engagement with music.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Senior Data Scientist will analyze data to solve real-world problems, partner with product teams, and influence strategy through data-driven insights.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.