Senior Director Data Science

HCSC•Chicago, IL

About The Position

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. Job Summary This position is responsible for planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Lead initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis;. Advise business by providing data-based strategic direction to identify and address business issues and opportunities. Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.

Requirements

Bachelor’s degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field.
Leadership and/or management experience.
4 years of management experience.
Learning and growth mindset.
Customer-focused.
Interpersonal, verbal and written communication skills.
Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
Microsoft applications including Access, Excel, Word and Power Point.
A track record of independently delivering or leading the delivery of a complex analytics or data science project.
Mentoring, managing, or leading junior analytics or data science staff.
Overseeing the annual budget and allocating resources for various projects and operational needs.
Translating needs and initiatives into compelling business cases.
Conducting cost-benefit analyses to justify investments and ensure ROI.

Nice To Haves

Masters or Ph.D. in a quantitative field, or Bachelor’s degree with healthcare experience.
Actuarial Credentials

Responsibilities

Planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Constructs predictive models, algorithms and probability engines to support data analysis or product functions
Verifies model and algorithm effectiveness based on real-world results.
Lead initiatives to analyze complex business problems and issues using data from internal and external sources
Bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis
Advise business by providing data-based strategic direction to identify and address business issues and opportunities.
Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.