Lead Data Scientist

McGraw Hill; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Annual bonus

Medical benefits

Job summary

McGraw Hill is seeking a Lead Data Scientist to independently apply advanced DS/AI techniques, driving meaningful business outcomes. The role emphasizes GenAI, scalable methods, and collaboration with engineering and product teams to translate analytics into strategic actions.

The position is fully remote in the United States, with a focus on building production-scale GenAI systems, and requires a PhD plus 4–7 years of experience in data science and AI.

Qualifications

• Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field.
• 4–7 years of professional DS/AI experience with demonstrated ability to deliver impactful projects.
• Deep knowledge of production-scale DS/AI systems with a recent focus on GenAI.
• Strong technical communication and collaboration with non-technical stakeholders.

Responsibilities

• Independently apply advanced DS/AI techniques to solve complex problems driving business outcomes.
• Develop innovative methodologies, scalable solutions, and structured frameworks for ambiguous challenges.
• Apply professional knowledge to interpret internal business issues and recommend best practices aligned with goals.
• Identify patterns and trends across problems to propose actionable solutions addressing immediate and long-term goals.
• Operate with substantial independence, plan and execute projects with minimal oversight.
• Foster cross-team collaboration to align with priorities and strategic goals.
• Communicate technical concepts clearly to diverse audiences and tell data-driven stories to influence decisions.

Skills

GenAI expertise

Cross-functional collaboration

Data storytelling

Python

Project planning

Education

Ph.D. in Data Science

Tools

ML Ops

LLM Ops

Job description

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.

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?

The Lead Data Scientist independently applies advanced DS/AI techniques to solve complex problems that drive business outcomes across McGraw Hill. 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:

• Independently apply advanced Data Science and AI techniques to solve complex problems that drive meaningful business outcomes.
• 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.

What You Bring:

• 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

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 fulfillment 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.