Job Description: Data Science Manager

About Turing

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways:

1. Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge.
2. Leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions.

Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.

For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

Position Summary

We are looking for a hands-on Data Science Manager to lead our Fulfillment Data Science team. In this role, you will help build foundational data infrastructure and deliver insights that directly shape Turing’s vetting and fulfillment operations. This is a high-impact role for a technically skilled and collaborative leader who can scale data-driven products and workflows that serve Turing’s 3M+ global talent cloud.

Key Responsibilities

• Build and lead a high-performing team of data scientists and data analysts.
• Drive actionable product and operational insights, opportunity analyses, and metric tracking to guide product direction and success.
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, etc.
• Design and maintain core data pipelines and conduct hands-on analysis of large-scale data.
• Translate complex analyses into compelling narratives and visualizations that drive executive and cross-functional decision-making.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced product development cycle.

Required Qualifications

• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Applied Math, Physics, Engineering).
• Experience:
  • 8+ years of hands-on data science experience, including work with large-scale structured and unstructured data.
  • 3+ years of experience managing data science teams.

Technical Skills

• Strong SQL and Python programming skills.
• Experience building data products using Google BigQuery and data visualization tools (Tableau, Looker, Sigma).
• Familiarity with experimentation, causal inference, or forecasting techniques.

Preferred Qualifications

• Experience building data products.