Top Senior Level Data Science Jobs in San Francisco Bay Area

Lead data scientist role responsible for driving strategic vision, growing the team, and developing a world-class data science and machine learning organization. Partner with executive leaders to leverage data science as a strategic differentiator and solve critical company challenges. Required qualifications include 5+ years of hands-on data science experience, strong business acumen, and academic/research foundations.

Manage a team of data scientists within the Marketing Data Science team to improve marketing efforts through Lead Scoring, Media Mix Modelling, Multi-touch Attribution, and Spend Optimization. Partner with marketing leadership and collaborate within the Asana Data Community to drive business success through data science. Educate partners on the positive impact of marketing data science capabilities.

Contribute to building next generation Large Language Models for Enterprise Language Generation, collaborate with a team to develop AI-powered solutions for customers, and work on practical and scalable AI/ML projects.

The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.

As a Tech Lead for Data at Forge, you will bring your substantial experience in data solutions to help unlock the power of our data for our customers. You will handle the increasing complexity and demand for data from various sources, enabling customers to make informed investment decisions. You will lead the data engineering team in designing and implementing a cutting-edge data platform and pipelines along with direct collaboration with crucial teams such as Product, Research, and Engineering enhance the data platform.

Senior Data Scientist role at Snap Inc. Responsibilities include quantitative analysis, statistical modeling, and driving data-driven decisions for product optimization. Requires expertise in SQL, Python, R, and 5+ years of experience in data science and quantitative analysis.

Develop standardized data models to access and process real-world data for generating regulatory-grade evidence in support of cancer detection. Collaborate with cross-functional teams and external collaborators to ensure data quality and develop data processing strategies. Apply statistical methods and machine learning algorithms for data analysis and interpretation.