Note: The job is a remote job and is open to candidates in USA. McGraw Hill is dedicated to creating next-generation learning experiences for students and educators around the world. As a Lead Data Scientist, you will apply advanced data science and AI techniques to solve complex problems, develop innovative methodologies, and provide technical mentorship to enhance team capabilities.
Responsibilities
- Independently apply advanced data science and AI techniques to solve complex problems that drive meaningful business outcomes for the School (PreK–12) business unit
- Develop innovative methodologies, scalable solutions, and structured frameworks to address ambiguous and complex challenges in K–12 educational contexts
- Apply acquired professional knowledge to interpret internal business issues and recommend DS/AI solutions and best practices in line with business goals
- Operate with substantial independence, planning and executing projects with minimal oversight while seeking leadership input for strategic alignment
- Foster cross-team collaboration across technical and non-technical teams, communicating complex measurement and DS/AI concepts clearly to diverse stakeholders using data-driven storytelling
- Provide technical mentorship to peers, fostering collaboration and facilitating alignment with organizational goals
Skills
- Doctoral degree (or equivalent) in Data Science, Quantitative Methods, Statistics, Applied Math, or a related field
- 4-7 years of professional experience with a demonstrated ability to deliver impactful DS/AI projects
- Advanced knowledge in DS/AI with demonstrated industry experience applying these techniques to complex, real-world problems
- Demonstrated ability to take DS/AI models through their full operational lifecycle, from research and validation into deployed products, including implementation, ongoing monitoring, validation, and periodic recalibration
- Ability to think through and communicate about system design, scaling, and pipeline architecture to ensure models are implemented faithfully and maintained reliably in production systems, and to collaborate effectively with engineering partners
- Strong Python skills with experience writing production-quality, scalable code
- Strong technical communication and collaboration skills, particularly with non-technical stakeholders
- Commitment to the field of education and the mission of improving K–12 student outcomes
- Experience working at an assessment company, adaptive learning platform, or edtech company that ships proficiency-based or adaptive/personalization products
- Familiarity with K–12 assessment ecosystems, including standards alignment, score reporting, adaptive assessment, and personalization
- Familiarity with ML, NLP, Deep Learning, and/or Generative AI approaches, particularly in educational contexts
Benefits
- An annual bonus plan may be provided as part of the compensation package
- A full range of medical and/or other benefits, depending on the position offered
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