Job Location : Dubuque,IA, USA
Data Scientist
McGraw Hill
1 Positions
ID: 5294
Posted On 02/07/2025
Job Overview
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
Primary Contact
170#######829
Jacqui Edwards
,
Phone
Phone
Phone
Fax
True
False
True
Job Details
Categories
Publishing/Printing
Location
Remote, Remote
Job Type
Employee
Full/Part
Full Time
Company ID
695
Job REQ #
5294
# Positions
1
Start Date
20250207
End Date
20250322
Featured Job
TH Ad
TH Comments
Similar Jobs
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.
(