Top Remote Data & Analytics Jobs in San Francisco Bay Area, CA

As a Senior Machine Learning Engineering Manager, you will lead a team developing and deploying machine learning models, collaborate with product and analytics teams, and oversee the design of system architectures and model evaluations. You will ensure AI's potential is leveraged across Atlassian's products and provide mentorship to emerging ML engineers.

As a Staff Data Scientist at Square Banking, you'll leverage data solutions to enhance loan products, influence product roadmaps, collaborate with cross-functional teams, and define metrics for success while establishing expertise in the loan process from underwriting to recovery.

The Computational Systems Biologist will design and execute complex computational research projects, analyze diverse datasets to extract insights, and evaluate emerging technologies in healthcare. They will develop multi-modal products to improve clinical outcomes and communicate technical results to non-technical audiences.

Lead Philo's Data team, overseeing data science efforts across product goals. Ensure accurate data insights for stakeholders and manage data platform quality and performance. Work closely with engineering and business teams to drive data-driven strategies and team growth.

The Director of Data Analytics will lead the analytics strategy to enhance subscription products at GoodRx. This role involves managing a team, optimizing customer engagement and retention, designing analytics models, and partnering across teams to deliver insights that drive business growth in a consumer-facing environment.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

In this role, you will manage the entire data engineering lifecycle, from ingesting data from IoT devices to transforming and aggregating it for backend APIs. You will lead the technical direction of key applications and develop the data infrastructure necessary for processing data from solar systems to ensure billing accuracy and system performance.