Data Scientist, Learning Supports

American Institutes for Research

Data Scientist providing foundational and advanced analytic support for Learning Supports program. Leading quantitative workflows and translating results into actionable insights for clients.

Posted 5/12/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $121,630 - $148,659 per yearWebsite

About the role

Key responsibilities & impact

Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Learning Supports initiatives.
Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non‑causal research questions.
Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures.
Review, quality‑check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation.
Translate complex analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings.
Manage discrete project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with project leadership and clients.
Support proposal development by contributing to technical and analytic sections and helping shape study design and analytic approaches.
Engage with internal and external stakeholders through meetings and dissemination activities, contributing to a collaborative and inclusive team environment.

Requirements

What you’ll need

A Master’s degree with 4 years of relevant quantitative research experience or a Bachelor’s Degree with 5 years of relevant experience.
Demonstrated experience supporting or leading quantitative research or evaluation projects, preferably for public-sector, nonprofit, or education-focused clients.
Experience designing and executing inferential analyses and contributing to research reports, briefs, or presentations.
Experience managing and maintaining analytic datasets, including documentation, quality control, and reproducible workflows.
Experience with machine learning methods or interest in applying ML to support causal and non-causal research preferred, but not required.
Experience working in education or K–12 research contexts is preferred, but not required.

Benefits

Comp & perks

AIR’s Total Rewards Program is designed to reward our staff competitively and motivate them to achieve our critical mission.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

quantitative researchdata analysisinferential analysisdata managementquality controlanalytic workflowsmachine learningreproducible researchstatistical methodsdata interpretation

Soft Skills

mentorshipcollaborationcommunicationproject managementguidanceteamworkproblem-solvingorganizational skillsstakeholder engagementpresentation skills

Certifications

Master's degreeBachelor's degree