---
title: 'Senior Data Scientist, Education at Learning Commons'
canonical: 'https://feeny.ai/job/senior-data-scientist-education-learning-commons-redwood-city-z0ns9jq02cdf'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Scientist, Education at Learning Commons

- **Company:** Learning Commons
- **Location:** Redwood City, CA
- **Work type:** hybrid
- **Posted:** 2026-04-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/education/jobs/7769562

## Job description

Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with.

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.

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.

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.

You will define and operationalize evaluation frameworks for AI-enabled learning tools, develop metrics and methodologies to assess quality and impact, and generate insights that inform product, research, and ecosystem decisions. This includes evaluating model performance, alignment to pedagogy, and real-world effectiveness in classrooms.

You will partner closely with Product, Engineering, Learning Science, and external researchers to ensure that evaluation is embedded throughout the product lifecycle—from early experimentation to scaled deployment. This role sits at the intersection of data science, learning science, and AI system evaluation.

## What You'll Do

- 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

As we grow, 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

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

- 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

## About Learning Commons

## Company Overview
- **One-liner**: Learning Commons is a nonprofit organization building open, public-purpose AI infrastructure to help translate learning science research into classroom practice and raise the standard for educational technology.
- **Entity Type**: Private (Nonprofit, part of the Chan Zuckerberg Initiative ecosystem)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2025 (launched as a standalone initiative building on a decade of work by the Chan Zuckerberg Initiative)
- **Founders**: Mark Zuckerberg and Priscilla Chan (via the Chan Zuckerberg Initiative); led by Sandra Liu Huang

## Core Business
- **Primary industry/industries**: Education Technology (Edtech), AI Infrastructure, Learning Science
- **Target customers**: Developers building educational tools, school districts, educators, researchers, and other edtech organizations
- **Mission or purpose statement**: To bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning. The organization is dedicated to making learning science accessible to all and building open, shared foundations for AI in education.

## Products & Services
- **Knowledge Graph**: A structured, machine-readable network of high-quality curricula, state standards, and learning science research. This open dataset helps developers create more accurate and pedagogically sound AI outputs by providing a precise, instructionally-aligned foundation.
- **Evaluators**: Expert-backed rubrics that assess AI-generated content for educational quality and alignment with learning science. This tool allows developers and educators to rigorously evaluate AI outputs before they reach students.
- **Curriculum Sync**: A curriculum integration tool that helps school districts bring open educational resources into their Learning Management Systems (LMS) with greater adaptability, ease, and lower administrative burden.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Nonprofit organization)
- **Key Metric**: The organization’s tools and resources currently reach more than 5 million students through its partners and products.
- **Notable Investors/Partners**: Funded and operated under the Chan Zuckerberg Initiative (CZI). Partners include school districts, researchers, educational experts, and other funders in the education ecosystem.
- **Growth Signals**: The organization is actively hiring for senior technical roles (Senior Software Engineer, Senior Data Scientist), indicating a phase of active team building and product development. LinkedIn data shows 7 employees with a +20% monthly headcount growth rate.

## Competitive Advantages
- **Deep research foundation**: Built on a decade of learning science investment by the Chan Zuckerberg Initiative, providing a unique depth of expertise and credibility.
- **Open, public-purpose infrastructure**: Unlike many for-profit edtech companies, Learning Commons is committed to creating open datasets and standards that benefit all educators and developers, not just paying customers.
- **Strong ecosystem connections**: Direct access to CZI’s network of researchers, educators, and school districts, as well as a mandate to convene the broader education ecosystem.
- **Nonprofit mission focus**: The organization’s structure allows it to prioritize pedagogical soundness and public good over commercial incentives, a strong differentiator in the AI-in-education space.

## Strategic Focus
- **Building shared, open infrastructure**: The primary focus is on developing the open datasets, standards, and rubrics that are currently missing from the edtech landscape.
- **Convening the ecosystem**: Actively bringing together funders, researchers, technologists, and educators to align efforts and accelerate progress.
- **Deep collaboration with educators**: Working directly with school districts and teachers to ensure tools reflect real classroom needs and constraints.
- **Rigor and safety**: Prioritizing the privacy and safety of educators and learners while ensuring AI tools are grounded in proven learning science.

## Why Work Here
- **Mission-driven impact**: The opportunity to work on a well-funded, high-impact nonprofit initiative that aims to fundamentally improve how technology supports teaching and learning for millions of students.
- **Top-tier compensation**: Average salary reported at $214,150, which is competitive with for-profit tech companies [edtech.com](https://www.edtech.com/companies/learning-commons).
- **Strong engineering culture**: The organization brings together "world-class engineering" with deep learning science knowledge, offering a chance to work on technically challenging problems (AI infrastructure, large-scale data, evaluation systems) with a clear social purpose.
- **Remote/hybrid policy**: Not explicitly stated, but headquarters are in Redwood City, CA. The team is currently entirely US-based.
- **Notable perks**: Being part of the Chan Zuckerberg Initiative ecosystem provides stability, resources, and access to a network of experts across technology, philanthropy, and education.
- **Growth opportunity**: As a relatively new organization (founded 2025) with a small team (~7 employees), early hires will have significant influence on shaping the product, culture, and strategic direction.

## Sources
1. [learningcommons.org - About Us](https://learningcommons.org/about-us/)
2. [learningcommons.org - Homepage](https://learningcommons.org/)
3. [edtech.com - Learning Commons Profile](https://www.edtech.com/companies/learning-commons)
4. [LinkedIn - Learning Commons](https://www.linkedin.com/company/learningcommons)
5. [learningcommons.org - Careers](https://learningcommons.org/careers/)

## Other roles at Learning Commons

- [Product Trust Manager, Education](https://feeny.ai/job/product-trust-manager-education-learning-commons-redwood-city-n2g571dehwgz) — Redwood City, CA
- [Senior Strategic Partnerships Analyst](https://feeny.ai/job/senior-strategic-partnerships-analyst-learning-commons-redwood-city-rz7per6qkm21) — Redwood City, CA
- [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-learning-commons-redwood-city-qhv32bakbmrc) — Redwood City, CA
- [Senior Manager, Engineering, Knowledge Graph](https://feeny.ai/job/senior-manager-engineering-knowledge-graph-learning-commons-redwood-city-3tqgm879chwy) — Redwood City, CA
- [Senior Software Engineer,  Infrastructure](https://feeny.ai/job/senior-software-engineer-infrastructure-learning-commons-redwood-city-f8vmggfenzf6) — Redwood City, CA