Sr Data Scientist

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 Senior Data Scientist, you will join a team of data scientists, AI researchers, software developers, and psychometricians who provide technical and scientific leadership for some of our most important strategic efforts companywide. You will be actively and cross-functionally involved in the entire AI/ML model development lifecycle from design to deployment, with a focus on cross-business unit solutions. You will help design, develop, validate, operationalize, evaluate and monitor AI systems and ML models, and 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:

• Plan, execute, and report on projects of diverse scope independently with weekly manager check-ins.
• Support/guide junior colleagues, including acting as team lead on shared projects.
• Propose solutions to business problems based on limited information and precedent.
• Solve problems by adopting, adapting, and/or extending existing DS/AI approaches.
• Collaborate with colleagues in other functions to support the creation of compelling learning experiences.
• Learn how to balance multiple projects and revise project plans as circumstances change.

What You Bring:

• Doctoral degree (or equivalent) in AI, Data Science, Computer Science, or related field
• 1+ years of applicable work experience after doctorate
• Ability to apply DS/AI knowledge to independently define and resolve problems, even with limited information or precedent
• Deep understanding of AI engineering patterns and large language model (LLM) principles, paired with recent orchestrating LLM work using frameworks such as LangGraph
• Proficiency in Python, and SQL (5+ years)
• Creativity in addressing diverse issues aligned with business goals, including suggesting variations in approach
• Ability to adapt communication style to different audiences and advise others on complex matters
• Proven track record of independently planning, executing, and reporting on AI projects to deliver business value

Preferred Experience & Skills:

• Passion for technology and commitment to staying current on generative AI advancements
• Affinity for education and knowledge sharing
• Ability to create scalable and efficient production-level code
• Familiarity with Human-Centered AI concepts and practices
• Familiarity with responsible AI principles and AI governance practices

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-$170,000 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.

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