Top Hybrid Data & Analytics Jobs in San Francisco, CA

Lead Philo's Data team, overseeing data science, engineering, and analytics to provide reliable insights and data-driven solutions across the company.

Leads a Data Science team at Gusto, focusing on product strategy using data and AI. Responsibilities include team management, developing measurement frameworks, supporting experiments, and influencing leadership decisions with insights.

Lead and build a marketing analytics function to connect marketing activity to revenue. Design attribution and unified measurement frameworks, quantify pipeline contribution, optimize channel mix and ABM, build forecasting and predictive models, ensure clean data infrastructure, and hire/manage a small analytics team. Partner with RevOps, Sales, and marketing teams to drive data-driven budget and planning decisions.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

As a Senior Data Engineer, you will automate processes, optimize data handling, build data products, and govern data while mentoring junior engineers.

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

Lead the Product Analytics team to unify analytics efforts, establish metrics, drive strategic decision-making, and enhance product understanding and customer experiences through data-driven insights.

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.