Top Data Science Jobs in San Francisco, CA

The Staff Data Scientist will lead data analysis, experimentation, and strategic decision-making processes, collaborating with multiple teams to drive business success through advanced statistics and AI methods.

Lead and grow a data science team supporting consumer financial products. Prioritize and deliver high-impact ML and analytics projects, build data pipelines, deploy models to production, mentor engineers, and partner cross-functionally to drive business decisions.

Lead and manage a team of data scientists for SoFi's consumer finance products. Prioritize and deliver high-quality data science projects, build data pipelines, deploy and monitor ML models, collaborate cross-functionally, recruit and mentor staff, and communicate insights to technical and non-technical stakeholders.

Partner with Strategic Finance on Spending products to build scalable analytics infrastructure, semantic layers, and AI-assisted workflows. Define roadmap, design experiments and causal analyses, apply ML to business problems, deliver executive-level data storytelling, and mentor other analysts while enabling Finance self-service analytics.

Lead CX analytics by building and productionizing revenue-attribution and causal impact models, designing experiments, and deploying LLM-powered NLP classification pipelines. Partner with analytics engineers, program managers, and product teams to create segmentation and behavioral signals, ensure statistical rigor for executive reporting and regulatory defensibility, and translate complex model outputs into actionable business recommendations.

Lead product and program analytics for Microsoft skilling experiences: define success metrics, analyze learner journeys and funnels, run experiments and causal analyses, build measurement frameworks and competency/skill taxonomies, partner with product and engineering to shape telemetry and reporting, recommend content and curriculum improvements, mentor data scientists, and ensure privacy-compliant analytics.

Lead product-focused analytics and experimentation for core product and AI initiatives. Build propensity models and segmentation, run deep-dives, design experiments, create automated reporting and executive dashboards, and partner cross-functionally to drive data-informed product and business decisions.

Belvedere Trading is seeking a Research Scientist specializing in Data Science to enhance their proprietary technology and analytics. The role involves statistical analysis and applying data science methodologies to support trading operations.

Senior Data Scientist role at Belvedere Trading, focused on providing liquidity through trading activities and leveraging proprietary technology.

Lead end-to-end data science initiatives including designing, deploying, and monitoring production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain production pipelines and monitoring systems to drive measurable business impact.