[Remote] Lead Data Scientist
Note: The job is a remote job and is open to candidates in USA. McGraw Hill is a leading educational content provider that creates innovative learning experiences for students and educators. The Lead Data Scientist will apply advanced data science and AI techniques to solve complex problems and drive business outcomes within the Higher Education business unit, while fostering collaboration and providing technical mentorship.
Responsibilities
- Develop innovative methodologies, scalable solutions, and structured frameworks to address ambiguous and complex challenges
- Apply acquired professional knowledge to interpret internal business issues and recommend solutions/best practices in line with business goals
- Identify patterns and trends across diverse problems to propose actionable solutions that address both immediate needs and long-term organizational goals
- Operate with substantial independence, planning and executing projects with minimal oversight while seeking leadership input for strategic alignment
- Foster cross-team collaboration to ensure alignment with organizational priorities and strategic goals
- Communicate technical concepts and insights clearly to diverse audiences, including non-technical stakeholders and cross-functional teams, using data-driven storytelling to influence decisions
Skills
- Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field
- 4–7 years of professional experience with demonstrated ability to deliver impactful projects
- Advanced knowledge in a specialization with an understanding of cross-disciplinary concepts and emerging trends, enabling collaboration across teams and domains
- Deep knowledge and practical experience with production-scale DS/AI systems with a recent focus on generative AI (GenAI)
- Understanding of complex GenAI architectures and experience with scaling, monitoring, and maintaining these systems
- Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale
- Strong technical communication and collaboration skills, particularly communicating with non-technical stakeholders and working collaboratively with engineering teams to meet project goals and timelines
- Strong experience with Python (7+ years)
- Affinity for education
- Experience with educational data
- Familiarity with AI adoption in higher education
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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