Top Data Science Jobs in San Francisco, CA

The Data Privacy Specialist oversees the B2B reporting process, leads improvements by developing new SOPs, mentors team members, dedicates time to project work, and resolves operational challenges.

The Senior Research Scientist will lead and oversee systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, and mentor junior staff. The role requires collaboration with team members and clients to ensure high-quality outputs and timely delivery of projects.

As a Machine Learning Optimization Evangelist at Hugging Face, you will educate ML practitioners on optimizing training and inference workloads by leveraging collaborations with AI accelerators and cloud providers. Your role involves creating technical content, speaking at conferences, and building demonstrations to enhance visibility and integration of Hugging Face technologies in the AI community.

The Senior Data Scientist will lead data science initiatives focused on causal inference to enhance financial inclusion. Responsibilities include developing causal models, managing the modeling process, optimizing credit products, conducting experiments, and collaborating with stakeholders to drive data-driven business strategies.

The Senior Data Scientist will build and deploy machine learning models for Risk and Fraud detection, lead technical efforts, manipulate data with SQL, develop production-grade code, design experiments, and partner with the Operations Team to adapt to events.

In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.

Coinbase is looking for a Staff Data Scientist to join their CB Wallet team. The role involves devising testing plans, conducting deep analyses, building analytics and machine learning models, and measuring business performance.