Top Data Science Jobs in San Francisco, CA

As a Research Scientist at Deepgram, you will innovate and build advanced voice AI solutions, utilizing deep learning to train models that interpret speech and comprehend text. You will drive large-scale training, optimize models, and collaborate with product and engineering teams to deploy AI capabilities.

The Senior Data Scientist in Ad Sales at Cash App will analyze large datasets, employ statistical techniques for insights, design A/B tests, work on data logging with engineers, create metrics for strategy, and develop data visualizations and dashboards to communicate findings effectively.

As Director of Data Science at Square Point of Sale, you will lead a team of data scientists and analysts, developing data strategies that drive business value. You will collaborate with senior leadership across various domains, enhancing data practices and ensuring the team delivers impactful insights, utilizing machine learning and statistical analysis.

As a Senior Decision Scientist at Opendoor, you will analyze data and present insights to non-technical stakeholders. You'll develop metrics, improve analytics quality, and execute A/B tests to support strategic initiatives across various departments, ultimately enhancing the customer experience in real estate.

As a Data Scientist in Product, you will work with engineering teams to transform data into actionable insights for product decisions. Your responsibilities include applying statistical methods, designing experiments, building dashboards, and influencing product roadmaps based on user interaction data.

The Principal Data Scientist will analyze customer interactions to identify friction points, influence strategy with data-driven insights, develop machine learning models, and nurture a strong Data Science team by providing training and mentoring.

The Principal Data Scientist will lead the Recommendation & Personalization team, leveraging advanced technologies to create AI/ML solutions that enhance customer experiences by providing personalized recommendations across various digital channels. This role involves partnership with cross-functional teams and the development of machine learning models to interpret and derive insights from vast data sets.