Learning Commons

Senior Data Scientist, Education

Redwood City, CA (Hybrid) · Senior

Sponsorship not specified$190k-$262kDetected 18 hours ago

PythonSQLMachine LearningData ScienceLLMsA/B TestingProduct ManagementCompensationResearch

About the role

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.

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
Provides a generous employer match on employee 401(k) contributions to support planning for the future.
Relocation support for employees who need assistance moving

5+ years of experience in data science, applied research, or quantitative analysis
Proficiency in the modern data science tech stack, including Python, SQL, ML

Learning Commons aims to scale proven learning science practices through AI-powered tools, datasets, and evaluation frameworks.
This includes evaluating model performance, alignment to pedagogy, and real-world effectiveness in classrooms.

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800.
This position may be eligible to participate in our discretionary annual performance bonus program.

Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Define evaluation frameworks for AI-powered education tools (e.g., LLM-based systems, adaptive learning systems)
Collaborate cross-functionally with Product, Engineering, Learning Science, and external partners
Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Benefits for the Whole You
To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

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.
Our work is grounded in a deep belief: when technology reflects the realities of classrooms and the science of how students learn, it can meaningfully strengthen teaching and unlock new possibilities for students.
The rise of generative AI offers us a once-in-a-generation opportunity to dramatically accelerate the translation of research insights into practical, classroom-ready tools; tools that honor teachers' expertise, adapt to students' needs, and make effective learning practices easier to access, implement, and sustain.
In today's fragmented edtech landscape, school districts are often left piecing together products that don't always align with curricula or instructional needs.
While AI holds enormous potential to support teachers and students, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation.
That's why we're building open, public-purpose infrastructure - datasets, rubrics, and resources - that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers.

This listing is sourced directly from Learning Commons's careers page and normalized into a canonical job model.