Data Scientist, M-Powering Teacher Coaching (Fully Remote)

Harvard University; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Generous paid time off and parental le

Retirement plans

Professional development opportunities

Job summary

Harvard University invites applications for a position that bridges rigorous educational research with practical data tools. You will join the Math Teaching and Teacher Learning team at CEPR to help develop AI-enhanced coaching tools for educators and coaches.

The role emphasizes managing complex datasets, applying ML and NLP methods, and collaborating with researchers and external partners to translate research into scalable educational products.

Qualifications

• Bachelor's degree in a related field; master's preferred.
• Experience with R, Python, Stata, machine learning, and NLP strongly preferred.
• Strong organizational, communication, and problem-solving skills.

Responsibilities

• Contribute to projects that connect rigorous educational research with practical tools for teachers and coaches.
• Work with the Math Teaching and Teacher Learning team at CEPR on AI-enhanced coaching tools.
• Manage complex datasets, build reproducible workflows, and develop codebooks and data documentation.
• Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures.
• Collaborate with researchers and external partners to integrate research into educational products.

Skills

R

Python

Stata

Machine learning

NLP

Organizational skills

Communication skills

Problem-solving

Education

Bachelor's degree in a related field

Master's degree preferred

Job description

• Contribute to projects that connect rigorous educational research with practical tools for teachers and coaches.
• Work with the Math Teaching and Teacher Learning team at CEPR on AI-enhanced coaching tools.

Key Responsibilities:

• Manage complex datasets, build reproducible workflows, and develop codebooks and data documentation.
• Apply statistical, machine learning, NLP, and generative AI methods to develop automated measures.
• Collaborate with researchers and external partners to integrate research into educational products.

Qualifications:

• Bachelor's degree in a related field; master's preferred.
• Experience with R, Python, Stata, machine learning, and NLP strongly preferred.
• Strong organizational, communication, and problem-solving skills.
• Generous paid time off and parental leave.
• Medical, dental, and vision insurance starting day one.
• Retirement plans and professional development opportunities.

Harvard University is a world-renowned institution committed to advancing education and research. The Harvard Graduate School of Education fosters a diverse, collaborative community focused on maximizing impact in the field of education.