Data Scientist (Research & Evaluation)
Core
Design and run studies to measure product impact, efficacy, and return on investment (ROI) for edtech companies, producing evidence-based evaluations for investment and go-to-market decisions.
Role type
Data Scientist (Research & Evaluation)
Builds
Independent efficacy and ROI reports, the LaunchEd Validation Score, and standardized validation reports for clients.
Domain
Edtech / Education research / Impact evaluation
Required skills
Statistical analysis, research design, quantitative data analysis, ROI measurement, study design, data visualization, SQL, Python or R, Excel
Preferred skills
Education data experience, familiarity with FERPA and COPPA compliance, university research collaboration
Technologies
SQL, Python, R, Excel
Responsibilities
Design and run studies measuring product impact on student and operational outcomes; Quantify return on investment for companies and products; Produce independent, evidence-based evaluations; Develop and maintain the LaunchEd Validation Score methodology; Deliver multiple efficacy and ROI studies per year as an in-house capability; Provide research support for network grading and accreditation; Partner with the deal team to feed validated outcomes into investment decisions.
Seniority
Individual Contributor
