Senior Data Scientist, Education

The Team

At Learning Commons, we operate at the intersection of technology, research, and philanthropy. We pair product development with grantmaking to scale proven teaching and learning practices for the benefit of every learner. We aim to bring learning science into the tools educators and students use every day.

The Opportunity

Learning Commons aims to scale proven learning science practices through AI-powered tools, datasets, and evaluation frameworks. As part of the Evaluators team, you will play a critical role in ensuring that AI and education products are grounded in rigorous, research-backed evaluation.

• Define evaluation frameworks for AI-powered education tools (e.g., LLM-based systems, adaptive learning systems)
• Design and analyze experiments across structured and unstructured data (A/B testing, quasi-experimental methods, causal inference)
• Translate findings into clear recommendations for product and research partners
• Collaborate cross-functionally with Product, Engineering, Learning Science, and external partners
• Contribute to best practices for responsible AI evaluation, including bias, fairness, and reliability

What You'll Bring

• 5+ years of experience in data science, applied research, or quantitative analysis
• Proficiency in the modern data science tech stack, including Python, SQL, ML
• Familiarity with evaluation of generative AI systems (e.g., rubric-based evaluation, human-in-the-loop evaluation)
• Ability to communicate complex findings to technical and non-technical audiences
• Experience collaborating with cross-functional teams (product managers, engineers, researchers) in a fast-paced development environment

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

We’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid

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