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Director, Lead Data Scientist

Company: Blue Cross Blue Shield of Michigan
Location: Detroit
Posted on: January 27, 2023

Job Description:

What if you could go to work every day knowing that you're helping make the health care system better for patients? And that the work that you do will lead to lower health care costs and better health outcomes? - -At Blue Cross Blue Shield of Michigan, the team in the Analytics Center of Excellence -works to do just that. - Are you the -right data science leader to join us in this mission?
What this role is all about: -Leading and mentoring talented teams of analysts, data scientists -and data science leaders in the execution of advanced analytics through data sourcing, modeling -and visualization from complex and high volume datasets to support business cases. You'll own the Analytics Center of Excellence (ACoE) -advanced analytics deliverables across a wide range of use cases and business domains, including -the acquisition, manipulation and presentation of data through data mining, programming, machine learning, algorithms -and/or statistical modeling.
What you'll do:

  • Lead the successful design, development, and implementation of advanced analytics through data mining, machine learning, and descriptive and/or predictive model building using state of the art analytics software, e.g., Python. Produce statistical analyses and data visualizations using tools such as Tableau. Communicate analytic insights to business stakeholders and technical team leads to ensure models are well understood.
  • Provide thought leadership on a variety of ACoE initiatives including mentoring the data science staff and engage in reviewing code and other deliverables for additional ACoE projects. Provide leadership, coaching and development to data science leaders and analysts; creating opportunities for continued development and growth across the data science staff.
  • Scope advanced analytics projects, generate additional hypotheses and optimize business objectives through leading the data science staff in data mining techniques that discover data patterns, generate insights, and derive inferences that generates decisions.
  • Manage and prioritize project and resource allocation across several teams of Data Scientists; build the strategy and approach to build assets that can be utilized in a variety of contexts to deliver more robust solutions in a more streamlined manner. Develop implement, monitor, and update data science strategies to create more performant models while creating repeatable, consistent highly efficient model building approach and processes.
  • Identify powerful, creative, and innovative analytics solutions for a range business problems; connect concepts, techniques, and principles across use cases to optimize ACoE efforts and improve quality of analytics assets.
  • Partner with leaders across the enterprise to create vision for advanced analytics in their respective areas, connect business unit leaders to create synergies across advanced analytics driven projects and programs, and maintain partnerships to continue building advanced analytics solutions in their areas.
  • Perform other related duties as required.

    What you bring:

    • Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research or related field is required. Master's or PhD in related field is preferred.
    • A minimum of eight (8) years of related work experience is required.
    • A minimum of two (2) years of leading an advanced analytics team is required.
    • Previous experience programing (at least one language) is required.
    • Expert knowledge in mining and visualizing data is required.
    • Expert knowledge of building advanced analytics assets including machine learning algorithms, e.g. logistic regression, random forests, gradient boosting machines, etc. is required.
    • Expert knowledge of non-traditional machine learning techniques, e.g. deep learning architectures, reinforcement learning, optimization theory, etc. is required.
    • Advanced knowledge in creating advanced data structures for advanced analytics solutions is required.
    • Expert knowledge around the diagnostic measures to evaluate advanced analytics models is required.
    • Expert ability in leading the development of individual components and overall advanced analytics solution is required.
    • Expert foundational knowledge in mathematics and algorithm design is required.
    • Expert knowledge in using various analytical software to write and implement algorithms is required.
    • Advanced knowledge around big data platforms and best software practices is required.
    • Presenting findings to business stakeholders is required.
    • Synthesize conversations with business stakeholders to determine project direction is required.
    • Basic skills in Microsoft Word, Excel, and PowerPoint is required.
    • Ability to clearly communicate findings to a variety of audiences is required.
    • Strong research background to ensure data science team continues to follow best practices is required.
    • Ability to craft strategic direction of data science capabilities and approaches is required.
    • Strong leadership qualities with the ability to lead multiple teams of data scientists.
    • Ability to create, implement, and deploy data science strategies that yield more performant models while creating efficiencies and consistencies across the teams is required.
    • Ability to create culture of learning and continued education and excellence is required.
    • Ability to create opportunities for personal development and career growth for Data Science leaders and analysts is required.

Keywords: Blue Cross Blue Shield of Michigan, Detroit , Director, Lead Data Scientist, Executive , Detroit, Michigan

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