Principal Statistician

Digital Promise; Deutschland; Vor Ort; EUR 102.636 - 115.465; Vollzeit

Benefits dieser Stelle

Flexible work environment

Health insurance premium coverage

401(k) employer contribution

15 vacation days

12 sick days

Zusammenfassung

Digital Promise is seeking a Principal Statistician to join their Center for Learning Sciences. This hybrid role involves developing methodologies and analyzing educational data to enhance learning systems. Candidates should possess a doctoral degree and at least 10 years of experience with advanced statistical techniques.

The role includes mentorship of analysts, collaboration with cross-functional teams, and effective communication of complex findings. A passion for educational technology and equity is essential to contribute to Digital Promise's mission.

Qualifikationen

• 10+ years of experience in quantitative education data analysis.
• Lead large-scale research studies and dissemination efforts.
• Experience with multilevel data sets and longitudinal analyses.

Aufgaben

• Design innovative research studies on educational impacts.
• Analyze complex data sets with statistical tools.
• Translate findings for non-technical audiences.

Kenntnisse

Advanced statistical methodologies

Statistical programming tools (R, SAS, Python)

Longitudinal analysis

Exceptional communication skills

Mentoring quantitative analysts

Ausbildung

Doctoral degree in statistics, educational evaluation, or data science

Tools

R

SAS

Python

Jobbeschreibung

Principal Statistician

Center for Learning Sciences

Remote (United States)

About the Position

The Center for Learning Sciences Research at Digital Promise Global is home to a group of learning sciences and researchers aiming to uncover how best to promote learning and how to ensure that meaningful, high‑quality learning opportunities are implemented systemically and sustained over time.

Our current portfolio of projects includes federally and philanthropic research‑practice partnerships aimed at designing and evaluating powerful innovations to support teaching and learning across PreK through postsecondary. Our team works across a variety of educational contexts, including public preschool, K‑12 and postsecondary programs in urban and rural areas, and disciplinary areas such as math, reading, science, and computational thinking. Across projects we research how emerging edtech and AI can be leveraged responsibly and ethically.

As part of the Center for Learning Sciences Research, the Principal Statistician will work in partnership with a multidisciplinary team, leading the application of advanced methodologies such as multilevel modeling, structural equation modeling, Bayesian analysis and others. The role includes developing processes for managing large‑scale datasets, integrating mixed methods, designing robust analytical frameworks and translating findings into clear narratives for a diverse audience.

Responsibilities

• Support strategic decision making: Contribute to designing innovative research studies that examine the impacts of educational innovations on learner outcomes, considering 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 sets and build and maintain analytic workflows, tools, or interactive dashboards (e.g., using Tableau or Excel).
• Support collaborative efforts: Advise research‑practice partnership partners on the valid inferences that can be drawn from available data to inform design iterations and refinements.
• Contribute to dissemination and communication: Lead and contribute to scholarly dissemination efforts, translating complex quantitative findings into clear narratives and visualizations for non‑technical audiences, including educators, school leaders, funders, and policy makers.
• Leadership and mentoring: Advise and collaborate with other quantitative analysts and may mentor colleagues in acquiring and applying analytic techniques.

Qualifications

• A doctoral degree in statistics, educational evaluation, psychometrics, or data science with substantial experience analyzing education data, or an education or social science degree with a concentration in quantitative methods.
• Expertise in advanced statistical methodologies such as multilevel modeling, structural equation modeling, Bayesian analysis, longitudinal modeling, and causal inference, and expertise in sampling and psychometrics.
• 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 as a technical advisor to education projects external to one's own organization.
• Strong facility with tools like R, SAS or Python to merge and analyze large data sets 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 mentor quantitative analysts and to communicate with nontechnical audiences about analytic approaches and findings.
• Experience and/or interest in emerging edtech and AI is a plus.

Additional Qualifications

• A strong commitment to working toward Digital Promise’s mission and impact goals.
• An interest in redesigning learning systems to better serve those who are historically and systemically excluded.
• Experience collaborating with cross‑functional team members to ensure information is shared, projects are completed on time, and goals are reached.

Working Conditions

Digital Promise Global is a hybrid organization. The position is primarily remote. Employees are expected to travel at least four times a year for in‑person meetings and the annual staff retreat. Additional travel may be required based on role and responsibilities.

Physical/Sensory Demands

Fast‑paced working environment. Extensive computer usage and online engagement & communication. Must be willing to build inclusive relationships and collaborate with employees at all levels within the organization and external partners.

Compensation

We consider candidate experience and location when determining where a candidate may fall within that range. Digital Promise Global offers a competitive total rewards package including coverage of 85% of health insurance premiums for employee coverage and 75% for dependent coverage, 15 vacation days, 12 sick days, 3% 401(k) employer contribution and a flexible work environment.

California: $145,640–$163,845

DC Metro Area & NYC: $132,400–$148,950

National: $119,160–$134,055

To Apply

Please apply and submit your resume, cover letter, and salary requirements. Applicants are encouraged to submit their materials as soon as possible. Submissions are reviewed on a rolling basis until the search is successful.

Digital Promise is an equal opportunity employer and considers all applications without regard to race, color, religion, creed, sex/gender, national origin, age, genetic information, disability, marital or veteran status, or any other legally protected status.