Senior Data Scientist

McGraw-Hill
New York, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$120,000.0 - $170,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Large Language Models Deep Learning Information Technology

Job description

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.

Requirements

  • Doctoral degree in Computer Science, AI, Data Science, or related field
  • 2+ years of experience in a related field
  • Deep understanding of AI engineering patterns and large language model (LLM) principles, paired with recent orchestrating LLM work using frameworks such as LangGraph
  • Conceptual knowledge of DS/AI through rigorous course work and industry applications
  • Demonstrated ability to apply DS/AI knowledge to lead projects from start to finish
  • Production experience with ML, NLP, Deep Learning, and/or LLM systems
  • Ability to create efficient, scalable Python code
  • Strong technical communication and collaboration skills

Preferred Experience & Skills:

  • Commitment to the field of education
  • Familiarity with Human-Centered AI concepts and practices
  • Familiarity with responsible AI principles and AI governance practices

Benefits & conditions

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 $120,000-$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.

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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