Top Data Science Jobs in San Francisco Bay Area, CA

The Senior AI Data Scientist will lead the design and development of AI systems in finance, overseeing data reasoning, model behavior, and production quality.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

As a Senior ML Data Scientist, you will build analytics foundations, evaluate ML models in production, and deliver actionable insights to enhance product capabilities.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

As a Data Scientist, you will develop, deploy, and analyze models, collaborating with teams to solve business problems and improve data quality.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

As a Senior Data Scientist, you will solve machine learning problems in payment risk and build end-to-end ML solutions impacting business. Responsibilities include data analysis, model deployment, and collaboration with teams.

The Data Scientist will build and deploy machine learning algorithms, conduct A/B testing, collaborate across teams, and optimize applications for growth marketing.

As a Staff Data Scientist, you will analyze data to guide product strategy, develop A/B testing frameworks, and create metrics for success in collaboration with product teams.

As a Data Scientist, you'll analyze viewer behavior and monetization, create insights and dashboards, maintain complex queries, and collaborate on data science efforts.

As a Data Scientist, you will develop data-driven solutions, create visualizations, and support data integration for energy projects applying machine learning and AI techniques.

The Data Scientist will analyze data to enhance business performance, engage customers, and optimize product strategies through experimentation and metrics establishment.

The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.

As a Staff Data Scientist, you will design and interpret experiments, mentor others, and communicate findings to influence product development and marketing strategies.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

As a Data Scientist, you will define metric goals, create dashboards for stakeholders, manage data pipelines, and optimize data solutions.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.