Data Scientist

McGraw Hill; Columbus (OH); On-site; USD 108,000 - 130,000; Full time

Job summary

Join McGraw Hill as a Data Scientist in the Enterprise AI team, where you will collaborate on innovative AI/ML projects to enhance educational experiences. This remote position requires expertise in data science, generative AI, and a passion for education, offering a competitive salary and comprehensive benefits.

Qualifications

• 3+ years of professional experience combined with a Master's degree in relevant discipline.
• Proven ability to apply DS/AI knowledge and tailor processes.
• Affinity for education and familiarity with AI in Higher Education preferred.

Responsibilities

• Plan, execute, and report on generative AI projects.
• Perform research, analysis, and modeling, presenting findings to stakeholders.
• Guide junior colleagues and support their development.

Skills

NLP

GenAI techniques

Technical communication

Collaboration

Education

Doctoral degree in relevant field

Master's degree in AI, Data Science, Statistics

Tools

Python

Job description

Overview

Build the Future

Could your creative thinking build the future? Data Scientists at McGraw Hill make a difference for learners and educators across the world. Our team needs individuals with new ideas who connect with people in innovative ways.

Your impact on the team

We are looking for three Data Scientists to join our Enterprise AI team. 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.

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

What can you expect from the position?

• Plan, execute, and report on generative AI projects of diverse scope independently.
• Perform research, analysis, and modeling, and present findings to key stakeholders.
• Check in with your manager weekly about project progress.
• Propose solutions to business problems by tailoring DS/AI concepts/tools/techniques.
• Learn how to balance multiple projects and revise project plans as circumstances change.
• Collaborate with colleagues in other functions to support the creation of compelling learning experiences.
• Support and guide junior colleagues.

What can you bring to the role?

• Doctoral degree in a relevant field, or a combination of 3+ years of professional experience and a Master's degree in AI, Data Science, Statistics, or a related discipline.
• Conceptual knowledge of DS/AI through rigorous course work.
• Proven ability to apply DS/AI knowledge effectively and tailor processes and methods.
• Proficiency in NLP and GenAI techniques, experience developing, testing, benchmarking, and monitoring LLM prompts.
• Ability to create efficient, scalable Python code.
• Understanding of LLM system design patterns and experience building LLM systems.
• Strong technical communication and collaboration skills.
• Affinity for education.
• Familiarity with AI adoption in Higher Education preferred.
• Experience with educational data preferred.

Why work for us?

There has never been a better time to join McGraw Hill. In our culture of curiosity and innovation, you will be able to own your growth and develop as we do.

The pay range for this position is between $108,175 - $130,000 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.

48664

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.