Lead Data Scientist

Company: McGraw Hill

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-11

About this role

Overview
Build the Future
At McGraw Hill, we create best-in-class, next-generation learning experiences that are used by millions of students and educators worldwide every day. We design intuitive and effective tools that maximize teachers’ time and students’ learning. And we do all of this in a supportive and collaborative environment where we work alongside brilliant colleagues, touch lives around the world, see the difference our hard work makes, and continue on our own paths of lifelong learning.


How can you make an impact?
As a Lead Data Scientist, you will join a team of data scientists, AI researchers, psychometricians, and software developers who provide technical and scientific leadership for some of our most important strategic efforts companywide. You will independently apply advanced DS/AI techniques to solve complex problems that drive business outcomes for our School (PreK–12) business unit, bringing together deep expertise in educational measurement and a thorough understanding of what it takes to operationalize and sustain quantitative models in production. You will develop innovative methodologies and scalable solutions, foster collaboration across teams, facilitate alignment with organizational strategic goals, and provide technical mentorship to enhance team capabilities. You will collaborate closely with colleagues across functions like Product, Engineering, Learning Design, and User Experience to help McGraw Hill create and deliver world-class educational experiences.


This is a remote position open to applicants authorized to work for any employer within the United States.
What You'll Do:

  • Independently apply advanced data science and AI techniques to solve complex problems that drive meaningful business outcomes for the School (PreK–12) business unit
  • Develop innovative methodologies, scalable solutions, and structured frameworks to address ambiguous and complex challenges in K–12 educational contexts
  • Apply ...

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