Data Scientist to join the Education Systems and Policy (ESP) team, applying rigorous analytic methods to complex education policy and systems questions while developing innovative tools and resources.
Locations (6)
Arlington, Virginia, United States
Chapel Hill, North Carolina, United States
Chicago, Illinois, United States
Sacramento, California, United States
Austin, Texas, United States
United States
Compensation
Anticipated Annual Salary Range
$114,000—$140,000 USD
Responsibilities
Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy 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
Requirements
Master's or doctoral degree in statistics, mathematics, computer science, computational social science, education data science, or a related discipline
Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy initiatives.
Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy 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.
Requirements
Master's or doctoral degree in statistics, mathematics, computer science, computational social science, education data science, or a related discipline.
