Director, Data Science- Machine Learning

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 was named one of America’s Most Responsible Companies in 2021 and 2023 by Newsweek and Statista, and one of America’s Best Employers for Diversity in 2021 and 2022 by Forbes and Statista. Adtalem’s family of institutions has more than 300,000 alumni and 10,000 employees. 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.

Visit Adtalem.com for more information, and follow on Twitter and LinkedIn.

Adtalem believes in a culture of collaboration, creativity, and innovation, which thrives when we can work flexibly. Depending on your location, this role may be hybrid or remote.

• HYBRID – If you reside within 50 miles of Adtalem offices in Chicago, IL, Addison, IL, Columbia, MD, Minneapolis, MN, and Miramar, FL this role is hybrid, requiring office presence three days a week (Tue, Wed, Thu), with the rest of the workweek spent working from home.

Job Description

The Director Data Science (Machine Learning) plays a key role in building and maintaining advanced analytic models, supporting Adtalem Global Education's institutions and Home Office in subjects related to admissions, retention, and financial outcomes; he/she will work closely with senior leadership to understand their needs and assess how they can be met through specific analyses.  

• Identifies and manages existing and emerging risks that stem from business activities and the job role.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
• Follows written risk and compliance policies, standards, and procedures for business activities.
• Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques, and execution of assignments.
• Oversees and carries out the exploration of promising new technologies, analytical methods, and data sources (internal & external) that have potential to contribute to the enterprise.
• Partners with enterprise analytical and IT teams to build core capabilities and processes.
• Identifies additional resource needs ranging from IT investments, 3rd party support, or additional analysts.
• Understands the business direction, environment, and strategies to identify and recommend and plan a roadmap of solutions that influence decision makers and inspire change.
• Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.
• Directs the ideation, development, deployment, monitoring, and automated refreshing of ML models that predict in real-time.
• Builds and leads a high performing team of experts in applications of AI/ML; develops team reputation as highly skilled experts in the field of data science and AI app development.

Qualifications

• Master's degree or PhD in Data Science, Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
• Eight (8) years of experience in predictive modeling, large data analysis and computer science.
• Three (3) years of direct management experience of data science function.
• Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python).
• An Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).
• Strong record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
• Experience in data mining and wrangling and statistical analysis.
• Excellent pattern recognition and predictive modeling skills.
• Knowledge and application of data science principles and experience with data science methodologies.