Quantitative Researcher

About Digital Promise Global

Digital Promise Global is an independent, bipartisan 501(c)(3) nonprofit organization with a mission to spur innovation to advance equity and improve the opportunity to learn. Positioned at the intersection of educators, entrepreneurs, and researchers, Digital Promise Global identifies, develops, and promotes strategies to improve education and provide people with the knowledge and skills needed to compete in the global economy. Digital Promise centers our work in equity and values and rewards inclusivity, collaboration, and innovation.

About the Position

The learning sciences portfolio at Digital Promise Global includes projects aimed at uncovering how best to promote learning and how to ensure that high-quality learning opportunities are implemented systemically and equitably. We are actively investigating how new sources of data can be used to support both of these goals. Our current portfolio of projects includes evaluation of grant-funded projects at rural community colleges and contracts to evaluate learning technologies that are used in K-12 schools. This work requires collaborative explorations of problems of practice, co-design of new approaches, and cycles of implementation and design refinement informed by data on both implementation practices and learner outcomes.

The populations served in our projects range from young children and their families, to school-age children, and college students, many of whom come from groups that have been marginalized by virtue of their race, culture, learning preferences, or linguistic background. As part of the Digital Promise Learning Sciences Research team, the Quantitative Education Researcher will contribute to (1) projects in our portfolio of current work, principally in studies of postsecondary learners, and (2) internal and external efforts around developing best practices for working with new forms of educational data.

Responsibilities

• Contribute to analysis plans, analyze a diverse range of data sets, and contribute to reports and publications.
• Contribute to the design of research studies that develop and/or evaluate education innovations.
• Contribute to the design of measures of classroom practices and learning outcomes that can be used within a continuous improvement framework.
• Analyze data collected by digital learning platforms to seek insights about usage, implementation and possible improvements; including planning
• Analyze data gathered by Qualtrics surveys to measure student and teacher perceptions and change in perception over time.
• Prepare updates and/or memos on data analysis progress and interim findings for partners and funders.
• Work with educators, education leaders, and/or technology producers in research-practice partnerships.
• Support dissemination of research findings to our practitioner partners, technology developers, and policymakers as well as other researchers.
• Contribute to research proposals to philanthropic funders, private clients, and/or government granting agencies.

Qualifications

• A master’s degree in statistics, educational evaluation, psychometrics, data science or another quantitative discipline or evidence of equivalent expertise and a bachelor’s degree.
• Minimum 2 years of practical experience analyzing quantitative education data as part of a project team or department
• Familiarity in one or more advanced quantitative methods (e.g., multilevel modeling, psychometrics, missing data analysis, and/or longitudinal analysis)
• Expertise in conducting data analysis in R
• Expertise in at least one online survey tool platform (Qualtrics preferred)
• Experience working with learning platform data and other large datasets
• Interest in furthering educational equity through working closely with education partners to understand their questions and develop data products that address them
• Exceptional communication skills; proven ability to communicate with a nontechnical audience about analytic findings
• Ability to work independently in a fast-paced environment and manage competing tasks, deadlines, requirements, and decisions
• Strong interpersonal and teamwork skills
• Desirable areas of experience include working with data from postsecondary institutional research offices and data from digital learning platforms; secondary analysis of large-scale state and national education databases; facility with Tableau; and classroom teaching experience or experience providing professional development to educators.
• A passion for lifelong learning, a team mentality, creativity, and a positive “can-do” “yes-and” spirit.

At Digital Promise, we also seek candidates with:

• A strong commitment to improving equity and accessibility in education
• A commitment to anti-racist approaches to our work
• Diverse life experiences
• An interest in redesigning learning systems
• 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. Employees are expected to travel at least 4 times a year for in-person meetings and the annual staff retreat. Additional travel may be required based on role and responsibilities.

(a)Travel up to 15%

(b)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

The full-time salary range for the Quantitative Researcher position is between $75,000 - $95,000 with exact salary depending on experience.

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, gender, national origin, age, disability, marital or veteran status, sexual orientation, or any other legally protected status.