Top Hybrid Data & Analytics Jobs in San Francisco, CA

The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.

The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.

As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.

As a Product Data Analyst at Inkitt, you will build and maintain reporting dashboards, conduct deep dives into user behavior, guide product development with insights, and support data infrastructure. You'll partner with product, engineering, and design teams, handle ad-hoc analyses, and lead experimentation efforts.