Top Scientist Jobs in San Francisco, CA

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

The role involves leading a team to manage data strategies and analytics for Netflix Games, requiring expertise in data science, business analytics, and team management.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

As a Staff Data Scientist, you will develop data-driven fraud prevention solutions using Generative AI, design scalable ML pipelines, and mentor junior data scientists while collaborating across teams to improve analytics and decision-making.

Perform model validation and monitoring for ML systems: track performance, detect drift and data issues, conduct root-cause analysis, build and deploy models, write production code, and communicate findings to stakeholders.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

Build and productionize data models and algorithms to improve tax accuracy, anomaly detection, and operational efficiency; design experiments, score risk and confidence, improve data reliability, and partner with Product, Engineering, and Ops to integrate ML-driven automation across the platform.

The Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.