Lead Data Scientist

The Lead Data Scientist independently applies advanced data science and AI (DS/AI) techniques to solve complex problems and drive business outcomes within McGraw Hill’s Higher Education business unit. They develop innovative methodologies and scalable solutions, structure approaches to ambiguous challenges, foster collaboration across teams, facilitate alignment with organizational strategic goals, and provide technical mentorship to enhance team capabilities.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You’ll Do:

• Develop innovative methodologies, scalable solutions, and structured frameworks to address ambiguous and complex challenges.

• Apply acquired professional knowledge to interpret internal business issues and recommend solutions/best practices in line with business goals.

• Identify patterns and trends across diverse problems to propose actionable solutions that address both immediate needs and long-term organizational goals.

• Operate with substantial independence, planning and executing projects with minimal oversight while seeking leadership input for strategic alignment.

• Foster cross-team collaboration to ensure alignment with organizational priorities and strategic goals.

• Communicate technical concepts and insights clearly to diverse audiences, including non-technical stakeholders and cross-functional teams, using data-driven storytelling to influence decisions.

• Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field

• 4-7 years of professional experience with demonstrated ability to deliver impactful projects

• Advanced knowledge in a specialization with an understanding of cross-disciplinary concepts and emerging trends, enabling collaboration across teams and domains

• Deep knowledge and practical experience with production-scale DS/AI systems with a recent focus on generative AI (GenAI)

• Understanding of complex GenAI architectures and experience with scaling, monitoring, and maintaining these systems

• Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale

• Strong technical communication and collaboration skills, particularly communicating with non-technical stakeholders and working collaboratively with engineering teams to meet project goals and timelines

• Strong experience with Python (7+ years)

Preferred Experience & Skills:

• Affinity for education

• Experience with educational data

• Familiarity with AI adoption in higher education

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 fulfillment that will inspire you to even greater heights.

The pay range for this position is between $136,000-$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.

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., 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.