Data Scientist, M-Powering Teacher Coaching

Harvard UniversityEducation research

Source API remote eligibility restrictions: United StatesFull-Time

Salary90,000 - 95,000 USD per year

Apply NowOpens the employer's application page

Job Details

Hold a bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Education, Social Science, or a related field.
Have relevant professional, research, internship, or concurrent-with-baccalaureate experience in data science, statistical programming, machine learning, educational research, or a related field.
Demonstrate strong organizational, communication, and problem-solving skills.
Be able to work independently and collaboratively.
A master’s degree in a related field is preferred.
Experience with R, Python, Stata, or a similar programming language is preferred.
Experience with machine learning, natural language processing, generative AI, or automated scoring is strongly preferred.
Experience with data annotation, codebook development, or qualitative and quantitative coding is preferred.
Familiarity with reproducible workflows for data cleaning, processing, analysis, or modeling is preferred.
Familiarity with version control, databases, APIs, or collaborative software development is preferred.
Experience with K-12 education data or education research is a plus.
Experience with mathematics teaching and learning is a plus.
Occasional travel may be required for project meetings, trainings, pilot activities, or other research-related events.

Organize, clean, and prepare structured and unstructured data, including video, audio, and text, for AI modeling and analysis.
Develop and document codebooks, annotation protocols, data dictionaries, and research procedures.
Build and document reproducible workflows for data processing, annotation, statistical analysis, and modeling.
Support shared practices for version control, code review, data security, and reproducible research.
Conduct data science work across grant-funded projects focused on teaching, instructional coaching, curriculum, and AI in education.
Apply statistical, machine learning, natural language processing, and generative AI methods as appropriate.
Coordinate and execute development and evaluation of automated measures related to teaching, coaching, curriculum implementation, and teacher learning.
Support pilot studies and evaluations of usability, implementation, coaching, and teacher experience.
Integrate research measures and findings into education tools and user interfaces; contribute to papers, reports, deliverables, and technical materials.
Manage timelines and deliverables, collaborate with researchers, educators, software developers, and external partners, and oversee internal working groups.

View Full Description & ApplyYou'll be redirected to the employer's site