Data Scientist - Remote

# Remote Lead Data Scientist - GenAI & Education Impact
## About the Role
McGraw Hill is seeking a Lead Data Scientist to apply advanced data science techniques within its Higher Education unit. In this remote role, you will develop innovative methodologies and scalable solutions to address complex challenges and help drive impactful business outcomes.
The ideal candidate brings deep knowledge of data science and AI systems, particularly generative AI, along with the ability to apply advanced data science approaches to complex problems. This role provides an opportunity to contribute to solutions that support the future of education.
## Key Responsibilities
* Apply advanced data science techniques to complex business challenges.
* Develop innovative data science methodologies and approaches.
* Build scalable solutions for complex problems.
* Apply data science and AI systems knowledge, with a focus on generative AI.
* Develop solutions that support impactful business outcomes.
* Contribute to data science initiatives within the Higher Education unit.
## Required Qualifications
* Deep knowledge of data science and AI systems.
* Strong knowledge of generative AI.
* 4–7 years of relevant experience.
* Ph.D. or equivalent qualification.
* Ability to apply advanced data science techniques to complex challenges.
## Preferred Qualifications
* No additional preferred qualifications are specified in the original job description.
## Skills & Competencies
* Data science
* Artificial intelligence (AI)
* Generative AI (GenAI)
* Advanced data science techniques
* Data science methodologies
* AI systems
* Scalable solution development
* Complex problem-solving
* Analytical thinking
* Business impact
* Higher Education
## Education & Experience
**Education:**
* Ph.D. or equivalent is required.
**Experience:**
* 4–7 years of relevant experience is required.
* Deep knowledge of data science and AI systems, particularly generative AI, is required.
## Work Arrangement & Schedule
* **Location:** Columbus, OH, US
* **Work Arrangement:** Remote
* **Employment Type:** Not specified in the original job description.
* **Weekly Hours:** Not specified in the original job description.
* **Schedule Flexibility:** Not specified in the original job description.
* **Weekend Requirements:** Not specified in the original job description.
## Compensation & Benefits
* **Compensation:** USD; specific salary range is not provided in the original job description.
* **Benefits:** Extensive benefits are offered. Specific benefits are not detailed in the original job description.
## Compliance / Additional Information
* **Employer:** McGraw Hill
* **Business Unit:** Higher Education
* **Posted:** September 18, 2026
* **Source:** Jooble

Work arrangement
No