Coteach
Data Scientist / Research Manager
🇺🇸
Remote - US
🕑
Contractor
💰
$12,000 - $15,000
per Month
💻
Data Science
🗓️
June 11th, 2026
K-12
Python
SQL
Edtech.com's Summary
Coteach is hiring a Data Scientist / Research Manager to develop evaluation infrastructure and translate teacher-student interaction data into actionable insights for curriculum partners and school leaders. The role involves building continuous evaluation systems, producing usage insights, and leading impact studies to measure how Coteach affects classroom outcomes and student success.
Highlights
- Develop and maintain evaluation infrastructure based on teacher interactions and subject-matter expert annotations.
- Analyze interaction data to improve curriculum for partners like Illustrative Mathematics.
- Design privacy-compliant usage insights for school and district administrators to guide resource allocation.
- Lead quasi-experimental studies to assess the impact of Coteach on education outcomes.
- Requires 3–5 years of data product experience, ideally in companies with strong data rigor.
- Hands-on experience building LLM evaluation suites, golden datasets, or model-graded tests.
- Proficient in Python and SQL, and skilled in causal inference, experimentation, and statistical modeling.
- Compensation ranges from $12,000 to $15,000 per month, typically contract-based with potential full-time consideration.
- Preferred qualifications include graduate-level education in quantitative fields and familiarity with K-12 education or instructional materials.
- Ability to communicate findings to non-technical stakeholders such as publishers and school leaders.
Data Scientist / Research Manager Full Description
Data Scientist / Research Manager
About this role
We’re hiring our first data scientist. Coteach sits in the middle of a remarkable stream of teacher and student interaction data. We need someone who can turn that into useful signal for everyone who can act on it: our team, our curriculum partners, and the schools and districts we work with. This is a broad early-stage role with deep ownership, and the people you'll work with and the questions you'll answer will look different week to week.
We’re looking for someone adaptable and personable, and with very strong technical skills. You need to be genuinely motivated to improve daily life for K-12 teachers and outcomes for their students. Prior education experience is not required.
You will
- Build and own our eval infrastructure. Talk to teachers, sit in on lessons, and read interaction traces to find where we’re failing. Construct evals around those pain points, recruit teachers and subject-matter experts to support with annotation, and build the infrastructure we need to run evals continuously as the product evolves.
- Turn our interaction data into content improvements for curriculum partners. Publishers like Illustrative Mathematics can learn a lot from how teachers actually use their materials inside Coteach. You’ll surface those signals back to them in a form they can act on — improving the underlying curriculum, not just our product.
- Surface usage insights to school and district leaders. Design privacy-respecting ways to show principals and admins where their teachers are wrestling with content, so they can target coaching, PD, and resources more effectively.
- Lead our impact work. Design and run quasi-experimental studies to understand how Coteach usage affects student outcomes and classroom practice. Make us credible to districts, funders, and the broader field on whether this is actually moving the needle.
What you bring
- 3–5 years building data products. You’ve worked as a data scientist at a product company — ideally somewhere with a strong data culture and a real bar for rigor.
- Hands-on experience with LLM evals. You’ve built eval suites, golden datasets, or model-graded tests for LLM-powered features — in industry, in research, or in school.
- Strong technical fundamentals. Fluent in Python and SQL. Comfortable with causal inference, experimentation, and statistical modeling.
- Qualitative range. You’re excited to spend time with teachers. You can pair a quant finding with a qualitative story and know when each matters more.
- Comfort with ambiguity. Early-stage environments where the playbook is still being written are where you do your best work. You’d rather build the first version of something useful than maintain the third version of something perfect.
Preferred (not required)
- Graduate work in statistics, computer science, economics, education, or a related quantitative field.
- Experience designing or running quasi-experimental impact studies in an applied setting.
- Experience presenting findings to non-technical audiences — publishers, school leaders, funders, or policymakers.
- Familiarity with K-12 schools, high-quality instructional materials, or the assessment ecosystem.
Compensation & structure
Compensation is $12,000–$15,000/month depending on experience. We expect most roles at this stage to be contract-based due to our current funding model. In select cases, we may be able to consider a full-time structure for the right candidate.
We have team members in NYC, San Francisco and Seattle, so candidates in those cities will have opportunities to work together in person. That said, we’re open to fully remote — including international — for the right person.
We encourage you to apply even if you don’t meet every qualification. Great candidates come from a variety of backgrounds, and research shows underrepresented applicants often underestimate their readiness. If you’re excited about this work, we want to hear from you.
About Coteach
Coteach plugs directly into the curricula and assessment data teachers already use, so it can actually help with the hard parts of the job — internalizing tomorrow's lesson, differentiating for the students who need it, building targeted supports, and a lot more. One year in, and tens of thousands of teachers across 1,000+ districts are using Coteach, and we have big plans for year two!
Similar Jobs
Business Solutions Manager
HMH
🇺🇸 Remote - US
Data Scientist III - 529640
University of Alabama
🇺🇸 Hybrid - Tuscaloosa, AL
Data Analyst, Research
George Washington University
🇺🇸 Hybrid - Washington, DC
Institutional Data Analyst Lead
University of Kentucky
🇺🇸 Lexington, KY
Customer Experience & Analytics (Senior Associate)
Coursemojo
🇺🇸 Remote - US
