Lead Data Scientist: GenAI & Scalable ML (Remote)

McGraw Hill; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Annual bonus

Medical benefits

Job summary

McGraw Hill is seeking a Lead Data Scientist to independently apply advanced DS/AI techniques, driving meaningful business outcomes. The role emphasizes GenAI, scalable methods, and collaboration with engineering and product teams to translate analytics into strategic actions.

The position is fully remote in the United States, with a focus on building production-scale GenAI systems, and requires a PhD plus 4–7 years of experience in data science and AI.

Qualifications

• Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field.
• 4–7 years of professional DS/AI experience with demonstrated ability to deliver impactful projects.
• Deep knowledge of production-scale DS/AI systems with a recent focus on GenAI.
• Strong technical communication and collaboration with non-technical stakeholders.

Responsibilities

• Independently apply advanced DS/AI techniques to solve complex problems driving business outcomes.
• Develop innovative methodologies, scalable solutions, and structured frameworks for ambiguous challenges.
• Apply professional knowledge to interpret internal business issues and recommend best practices aligned with goals.
• Identify patterns and trends across problems to propose actionable solutions addressing immediate and long-term goals.
• Operate with substantial independence, plan and execute projects with minimal oversight.
• Foster cross-team collaboration to align with priorities and strategic goals.
• Communicate technical concepts clearly to diverse audiences and tell data-driven stories to influence decisions.

Skills

GenAI expertise

Cross-functional collaboration

Data storytelling

Python

Project planning

Education

Ph.D. in Data Science

Tools

ML Ops

LLM Ops

Job description

McGraw Hill is seeking a Lead Data Scientist to independently apply advanced DS/AI techniques, driving meaningful business outcomes. The role emphasizes GenAI, scalable methods, and collaboration with engineering and product teams to translate analytics into strategic actions.

The position is fully remote in the United States, with a focus on building production-scale GenAI systems, and requires a PhD plus 4–7 years of experience in data science and AI.