Senior Data Scientist

Company Description

Adtalem Global Education is a national leader in post‑secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well‑being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world.

Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

We operate on a hybrid schedule with four in‑office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship‑building, fostering a dynamic and collaborative work environment.

Visit  for more information, and follow us on Linked In and Instagram.

The Senior Data Scientist is a technical leader within the CDX Advanced Analytics team, bridging advanced analytical capabilities with strategic business objectives.

This role focuses on designing, building, and deploying sophisticated machine learning models and AI solutions that drive student enrollment, retention, and success outcomes. The Senior Data Scientist partners with stakeholders to translate complex business challenges into actionable analytical frameworks and provides technical guidance to junior data scientists.

• Design, build, and maintain production‑grade machine learning models that address critical business questions related to student enrollment, retention, and success.
• Conduct rigorous machine learning experiments using structured methodologies to evaluate model performance and identify optimal solutions.
• Implement model monitoring and maintenance protocols to ensure continued accuracy and relevance over time.
• Develop scalable data pipelines and feature engineering processes to support model development and deployment.
• Drive innovation in applied AI and Generative AI (GenAI) solutions, exploring opportunities to integrate advanced AI capabilities into data science products and workflows.
• Partner with senior leadership to understand strategic priorities and assess how data science capabilities can address organizational needs.
• Translate business requirements into well‑defined analytical problems with clear success metrics.
• Present complex analytical findings and model insights to non‑technical audiences, including executive stakeholders.
• Provide technical mentorship and share best practices with Data Scientists and Associate Data Scientists.
• Apply statistical methods to validate model performance and ensure analytical robustness.
• Document methodologies, assumptions, and limitations to maintain transparency and reproducibility.
• Stay current with emerging machine learning techniques and evaluate their applicability to organizational challenges.
• Support the growth of analytical capabilities across the organization through knowledge sharing.
• Performs other duties as assigned.
• Complies with all policies and standards.

• Bachelor's degree in an area such as Data Science, Computer Science, Statistics, Mathematics, or related field. Required. Master's degree preferred.
• Five (5) plus years of experience in data science, machine learning, or advanced analytics roles.
• Five (5) plus years of proven experience with production‑level ML models, data pipelines and/or applied AI.
• Famililarity with cloud platforms (GCP, Big Query, Vertex AI), Azure Dev Ops  and reporting tool (Power BI, Tableau).
• Experience delivering end‑to‑end data science solutions, including data collection, feature engineering, model development, deployment, and integration into business workflows.
• Demonstrated success with agentic workflows and GenAI in data science product solutions
• Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
• Excellent…