Senior Data Scientist
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Role details
Tech stack
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. You will help design, develop, validate, operationalize, and monitor AI/ML models for our School (PreK-12) business unit, 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:
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Plan, execute, and report on projects of diverse scope independently with weekly manager check-ins.
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Support/guide junior colleagues, including acting as team lead on shared projects.
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Propose solutions to business problems based on limited information and precedent.
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Solve problems by adopting, adapting, and/or extending existing DS/AI approaches.
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Collaborate with colleagues in other functions to support the creation of compelling learning experiences.
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Learn how to balance multiple projects and revise project plans as circumstances change.
Requirements
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Doctoral degree (or equivalent) in AI, Data Science, or related field
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2+ years of experience in a related field.
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Conceptual knowledge of DS/AI through rigorous course work and industry applications
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Demonstrated ability to apply DS/AI knowledge to lead projects from start to finish
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Production experience with ML, NLP, Deep Learning, and/or LLM systems
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Ability to create efficient, scalable Python code
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Strong technical communication and collaboration skills
Preferred:
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Commitment to the field of education
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Experience with the K-12 educational ecosystem
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Familiarity with assessment in K-12
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 - $165,000 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.
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., 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.
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