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Humana Associate Director, Data Science in Colorado Springs, Colorado

Description

The Associate Director, Data Science is a key leadership role in the AI Integration team, and is responsible to help bring the power of AI and Machine Learning to the Enterprise Clinical Operating Model (ECOM) program. The individual has keen desire to understand the business, and in designing and delivering solutions to complex, high-impact business problems. The Associate Director, Data Science uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Associate Director, Data Science requires a solid understanding of how organization capabilities interrelate across department(s).

Responsibilities

The Associate Director, Data Science is a key leadership role in the AI Integration team, and is responsible to help bring the power of AI and Machine Learning to the Enterprise Clinical Operating Model (ECOM) program. The individual has keen desire to understand the business, and in designing and delivering solutions to complex, high-impact business problems. The Associate Director, Data Science uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Associate Director, Data Science requires a solid understanding of how organization capabilities interrelate across department(s).

Responsibilities

The Associate Director, Data Science develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Decisions are typically related to identifying and resolving complex technical and operational problems within department(s), and could lead multiple managers or highly specialized professional associates.

Required Qualifications

  • Master degree in a quantitative field (Statistics, Mathematics, Data Science, Computer Science)

  • 6 or more years of experience in data mining, statistics, analytical methods and tools, techniques and algorithms

  • 2 or more years of management experience

  • Possesses a solid understanding of how organization capabilities interrelate across department and the ability to lead across large and matrixed environments

  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

  • Experience in creating reports, projections, models, and presentations to support business strategy and tactics

  • Experience in identifying and resolving complex technical and operational problems within departments

  • Working knowledge and experience in statistical analysis packages such as Python or R

  • Experience in building machine learning models (Decision Tree, Random Forest, Regression, Neural Networks, etc.)

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

  • Master's Degree or PhD

  • Knowledge of healthcare claims, clinical programs and interventions, health outcomes, population health

Scheduled Weekly Hours

40

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