Principal Statistician

Digital Promise

Principal Statistician leading advanced statistical methodologies for educational research at Digital Promise. Collaborating with educators and technology leaders to enhance learning outcomes.

Posted 6/30/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $119,160 - $163,845 per yearWebsite

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Support strategic decision making: Contribute to the design of innovative research studies that examine the impacts of educational innovations on learner outcomes, with consideration of socioeconomic, cultural and linguistic diversity.
Design and execute research: Collaborate with other lead members to develop proposals, analysis plans, and high-quality research products using a diverse range of data sets and methodological approaches.
Lead and conduct advanced data analysis: Use modern statistical programming tools like R, SAS or Python to merge and analyze large, complex data datasets and to build and maintain analytic workflow, tools, or interactive dashboards (e.g., using Tableau or Excel).
Support collaborative efforts: Support partnerships with educators, education leaders, and/or technology producers in research-practice partnerships by advising on the inferences that can be drawn validly from available data to inform design iterations and refinements.
Contribute to dissemination and communication: Lead and contribute to scholarly dissemination efforts. Translate complex quantitative findings into clear narratives and visualizations for non-technical audiences, including educators, school leaders, funders and policy makers.
Leadership and mentoring: As a senior role, the statistician in this position will advise and collaborate with other quantitative analysts, and may mentor colleagues in acquiring and applying a range of analytic techniques.

Requirements

What you’ll need

A doctoral degree in (1) statistics, educational evaluation, psychometrics, or data science with substantial experience analyzing education data preferred or (2) education or social sciences with a concentration in quantitative methods.
Expertise in advanced statistical methodologies (such as multilevel modeling, structural equation modeling, Bayesian analysis, longitudinal modeling, causal inference) and expertise in sampling and psychometrics (e.g., generalizability) theory.
National reputation for leading large-scale research studies and high-impact dissemination efforts, including first authorship of technical reports and peer-reviewed publications on methodological issues, and experience serving as a technical advisor to education projects external to their own organization.
Strong facility with tools like R, SAS or Python to merge and analyze large data datasets and build and maintain analytic tools.
Minimum 10 years of practical experience analyzing quantitative education data.
Experience working with multilevel data sets and conducting longitudinal analyses.
Exceptional communication skills; proven ability both to communicate with quantitative analysts as a mentor and with nontechnical audiences to describe analytic approaches and findings.
Experience and/or interest in emerging edtech and AI is a plus.

Benefits

Comp & perks

coverage of 85% of health insurance premiums for employee coverage
75% of health insurance premiums for dependent and family coverage
15 vacation days
12 sick days
3% 401k employer contribution
3% employer 401k match
flexible work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Multilevel ModelingStructural Equation ModelingBayesian AnalysisLongitudinal ModelingCausal InferenceSampling TheoryPsychometricsData AnalysisResearch DesignStatistical Programming

Soft Skills

MentoringCollaborationCommunication