Education Perfect
Senior Data Scientist, Education
Redwood City, CA (Hybrid) · Senior
Sponsorship not specified$190k-$262kDetected 1 day 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.
Responsibilities
- 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
Requirements
- 5+ years of experience in data science, applied research, or quantitative analysis
- Proficiency in the modern data science tech stack, including Python, SQL, ML
Skills
- 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.
Compensation
- 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.
Benefits
- 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.
Company info
- 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.
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This listing is sourced directly from Education Perfect's careers page and normalized into a canonical job model.