Lead Data Scientist

Lead Data Scientist McGraw Hill 1 Positions

ID: 6953

Posted On 07/13/2026 Refreshed On 09/13/2026 Job Overview 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 acquired professional knowledge to interpret internal business issues and recommend DS/AI solutions and best practices in line with business goals Operate with substantial independence, planning and executing projects with minimal oversight while seeking leadership input for strategic alignment Foster cross-team collaboration across technical and non-technical teams, communicating complex measurement and DS/AI concepts clearly to diverse stakeholders using data-driven storytelling Provide technical mentorship to peers, fostering collaboration and facilitating alignment with organizational goals What You Bring: Doctoral degree (or equivalent) in Data Science, Quantitative Methods, Statistics, Applied Math, or a related field 4-7 years of professional experience with a demonstrated ability to deliver impactful DS/AI projects Advanced knowledge in DS/AI with demonstrated industry experience applying these techniques to complex, real-world problems Demonstrated ability to take DS/AI models through their full operational lifecycle, from research and validation into deployed products, including implementation, ongoing monitoring, validation, and periodic recalibration Ability to think through and communicate about system design, scaling, and pipeline architecture to ensure models are implemented faithfully and maintained reliably in production systems, and to collaborate effectively with engineering partners Strong Python skills with experience writing production-quality, scalable code Strong technical communication and collaboration skills, particularly with non-technical stakeholders Preferred: 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 ML, NLP, Deep Learning, and/or Generative AI approaches, particularly in educational contexts Why work for us? The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights. The pay range for this position is between $140,000 - $190,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings. McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 50937 Primary Contact 1702837431829 Jacqui Edwards , Phone Phone Phone Fax View email address on click.appcast.io Email True False True Job Details Categories Publishing/Printing Location Remote, Remote Job Type Employee Full/Part Full Time Company ID 695 Job REQ # 6953 # Positions 1 Start Date 20260713 End Date 20261015 Featured Job TH Ad TH Comments Similar Jobs Senior Data Scientist McGraw Hill Lead Data Engineer McGraw Hill Lead Medical Education Consultant McGraw Hill Lead Data Scientist McGraw Hill Senior Data Scientist McGraw Hill Share this Job McGraw Hill About the Company At McGraw Hill, we believe that our contribution to unlocking a brighter future lies within the application of our deep understanding of how learning happens and how the mind develops. It exists where the science of learning meets the art of teaching. Educators have been and always will be at the core of the learning experience. The solutions we develop help educators impart their knowledge to students more efficiently. We believe that harnessing technology can enhance learning inside and outside of the classroom and deepen the connections between students and teachers to empower greater success. By partnering with educators around the globe, our learning engineers, content developers and pedagogical experts are developing increasingly open learning ecosystems that are proven to improve pass rates, elevate grades and increase engagement for each individual learner while improving outcomes for all. Why? Because learning changes everything. ( Access Dubuque