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McGraw Hill

Educational publisher offering digital learning tools

Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A doctoral degree or equivalent in Data Science, Psychometrics, Statistics, Quantitative Methods, Applied Math, or a related field.
  • Four to seven years of professional experience delivering impactful data science and artificial intelligence projects.
  • Advanced knowledge of data science and artificial intelligence, with industry experience applying these techniques to complex, real-world problems.
  • Ability to take data science and artificial intelligence models through their full operational lifecycle, from research and validation into deployed products, including implementation, ongoing monitoring, validation, and periodic recalibration.
  • Ability to reason about and communicate system design, scaling, and pipeline architecture to ensure models are faithfully implemented and reliably maintained in production systems, and to collaborate effectively with engineering partners.
  • Strong Python skills and experience writing production-quality, scalable code.
  • Strong technical communication and collaboration skills, particularly with non-technical stakeholders.

Responsibilities

  • Independently apply advanced data science and artificial intelligence techniques to solve complex problems that drive 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 professional knowledge to interpret internal business issues and recommend data science and artificial intelligence solutions and best practices aligned with business goals.
  • Plan and execute projects with substantial independence and minimal oversight, seeking leadership input for strategic alignment.
  • Foster cross-team collaboration across technical and non-technical teams, communicating complex measurement and data science concepts clearly to diverse stakeholders using data-driven storytelling.
  • Provide technical mentorship to peers, fostering collaboration and facilitating alignment with organizational goals.

Desired Qualifications

  • Commitment to the field of education and the mission of improving K–12 student outcomes.
  • Experience working at an assessment company, adaptive learning platform, or edtech company that ships proficiency-based or adaptive/personalization products.
  • Familiarity with K–12 assessment ecosystems, including standards alignment, score reporting, adaptive assessment, and personalization.
  • Familiarity with machine learning, natural language processing, deep learning, and/or generative artificial intelligence approaches, particularly in educational contexts.

About the Company

McGraw Hill

Educational publisher offering digital learning tools

McGraw Hill is an educational publisher that creates and distributes textbooks, digital courses, and online learning platforms for K-12, higher education, and professional training. Its products include traditional textbooks and digital courses, delivered via subscription-based platforms and personalized learning tools designed to tailor content to individual students' needs. The company differentiates itself by combining high-quality educational content with technology-enabled, personalized learning experiences, a focus on accessibility and inclusion, and strategic acquisitions like Redbird Learning to strengthen its digital capabilities. Its goal is to unlock the potential of every learner at every stage of life by providing accessible, data-driven learning solutions that support teachers and institutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1888

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