Director, Data Science- Machine Learning

1st. Creative Learning Academy Inc. • Chicago, IL, United States • $200k - $250k / year • 1m ago

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.

Responsibilities

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).
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.
Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Deep technical skills, consulting experience, and business savvy to work with all levels and disciplines within our customers' organization.
Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

Preferred Qualifications

Advanced knowledge of statistical methods, mathematics, and AI/ML algorithms including traditional general linear model (GLM) family models (including linear and logistic), tree-based methods (random forest, gradient boosted models), deep learning methods (neural networks, etc.), and general optimization methods (e.g., gradient descent, etc.).
Knowledge in model performance evaluation techniques, metrics, and validations strategies (nested-cross-validation, etc.).
Expert in data visualization principles, techniques, and tools.
Expert in communicating concepts, proposals, ideas, and results to key decision makers.
Expert in model testing, validation, and CI/CD techniques.
Knowledge and familiarity with Google Cloud Platform.
Not be afraid of hard work and doing things smarter, taking initiative, and providing leadership.
Experience with Vertex AI ML Ops platform or similar.
Experience with systems in the Education Space.
Experience in experimental design.
Experience in project and vendor management.
Experience with Azure DevOps.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $97,253.99 and $175,761.85. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.