Research and Learning Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct research related to at-home learning and personalized recommendation products, as well as contribute to various studies within the research agenda.

• Assist in product research and development by utilizing learning science and behavior-change principles, testing the effectiveness of features that enhance family practices and student learning.

• Provide insights on AI-driven family recommendations, covering aspects such as data signals, skill mapping, personalization constraints, and output quality.

• Design and execute mixed-methods studies, which may include rapid-cycle, descriptive, correlational, quasi-experimental, and randomized-trial research methodologies.

• Oversee the management, cleaning, and analysis of quantitative and qualitative data from platforms, partners, and public sources.

• Create and implement measures assessing family and educator outcomes associated with student results.

• Transform research findings into impactful narratives and strategic recommendations for product development, partnerships, and fundraising efforts.

• Act as a representative for research initiatives with school districts, funding bodies, and external researchers.

• Lead long-term research partnerships with school districts.

• Provide informal mentorship to fellow researchers as necessary.

• Oversee projects from initial design to final dissemination, collaborating cross-functionally throughout the process.

⛳️ Requirements

• PhD in education, learning sciences, developmental or educational psychology, or a closely related field.

• Over 8 years of hands-on research experience, including work in product development, research and development, and engagement with funders.

• Expertise in learning science, particularly in literacy and/or mathematics, home learning, and the role of families as learning partners.

• Proficient in mixed methods, including experimental and quasi-experimental design, as well as measure validation, with transparent communication regarding trade-offs.

• Proven ability to translate research evidence for non-research audiences and deliver results with minimal supervision.

• Proficiency in R programming language.

• Familiarity with SQL and/or Sigma is advantageous.

• Comfort and experience in utilizing AI tools.

• Background in handling public education datasets and personally identifiable information (PII).

• Expertise in family engagement or attendance research.

• Experience in evaluating AI-driven or personalized recommendation tools.

🏝️ Benefits

• 401K matching program.

• Flexibility to work remotely.

• Opportunity to be part of a mission-driven, rapidly expanding startup tech nonprofit.

• Join a fun, intelligent, dynamic, and motivated team dedicated to transforming family engagement.