Data Scientist
New
A
American Institutes for ResearchSocial Science Research
This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations.Full-TimeSenior
Salary121,630.3 - 148,659.26 USD per year
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Job Details
- Experience
- Master’s degree with 4 years of relevant quantitative research experience or a Bachelor’s Degree with 5 years of relevant experience.
- Required Skills
- PythonMachine LearningData managementR
Requirements
- 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.
- Experience designing and executing inferential analyses.
- Experience managing and maintaining analytic datasets, including documentation, quality control, and reproducible workflows.
- Proficiency in R, Stata, or Python for applied quantitative analysis.
- Ability to review, quality-check, and improve others’ analytic code and support junior staff.
- Strong analytical and problem-solving skills.
- Strong communication skills for technical and non-technical audiences.
- Ability to manage multiple tasks and deadlines independently.
Responsibilities
- 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.
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