Data Scientist, Learning Supports

1. About Our Client:

The organization operates within the behavioral and social science research sector, focusing on addressing significant challenges through research and technical assistance. It supports federal and state agencies, school districts, and foundations by producing evidence and practical tools that inform policy and practice. The program emphasizes ensuring early and equitable access to learning and necessary supports for children and families, contributing to improved educational outcomes.

2. About the Opportunity:

The Data Scientist, Learning Supports is responsible for providing advanced analytic support across multiple project teams. This role manages end-to-end quantitative workflows, including data management, quality assurance, code review, and leading inferential modeling tasks for causal and non-causal analyses. The position also involves expanding the program''s application of machine learning methods and translating technical findings into clear insights for clients and stakeholders, thereby supporting data-driven decision-making.

3. Responsibilities:

• Lead or contribute to rigorous quantitative research and evaluation projects.

• Apply quantitative methods for data collection, management, analysis, and interpretation.

• Develop and maintain reproducible analytic workflows and quality control procedures.

• Review and improve junior analysts'' code and provide mentorship.

• Translate complex analytic results into clear, actionable insights for various audiences.

• Manage project tasks, timelines, and coordination with leadership and clients.

• Support proposal development through technical and analytic contributions.

• Engage with stakeholders to promote collaboration and inclusion.

4. Requirements:

• Master’s degree with 4 years or Bachelor’s degree with 5 years of relevant quantitative research experience.

• Experience leading or supporting quantitative research or evaluations, preferably in public-sector, nonprofit, or education contexts.

• Proficiency in inferential analyses for causal and non-causal research questions.

• Experience managing datasets with documentation, quality control, and reproducible workflows.

• Familiarity or interest in machine learning methods preferred.

• Proficiency in R, Stata, or Python.

• Strong analytical, problem-solving, communication, and multitasking skills.

• Ability to mentor junior staff and translate complex analyses for diverse audiences.

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.