Manager Data Science

The Data Science team at Blue Cross Blue Shield of Michigan leverages technology to build new, advanced analytics capabilities. We use these capabilities to develop predictive analytics that help change the business, and the health of our members, for the better. The Blue Cross data science team offers the opportunity to make a significant impact within an entrepreneurial environment. Join us to take your career to the next level!

Here's what you'll do:

Manage the lifecycle of analytics business cases from gathering requirements, sourcing data, proposing and iterating solutions, visualization, delivery and on-going data maintenance for cross-functional teams within Blue Cross Blue Shield of Michigan (BCBSM) and its subsidiaries.

• Responsible for the design, development, and implementation of advanced analytics to generate insights and/or build solutions for business cases that will optimize business objectives.
• Provide leadership, coaching and development to a team supporting advanced analytics to maximize resources, manage workloads and ensure on-time deliverables.
• Define and enhance advanced analytics framework by maintaining knowledge through continuous learning to ensure incorporation of best practices, platforms, tools and techniques.
• Collaborate with cross-functional teams to align business case objectives, cost-benefit analysis, visualizations, solutions to achieve the optimal business outcome, etc.
• Develop individual business case strategies to include: structuring the business problem into a mathematical formulation, creation of set of tasks to execute, task sequencing, potential algorithms, diagnostic techniques, etc.
• Ensure adherence to data governance while improving data accuracy and efficiency.

• Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research or related field is required. Master’s degree or PHD in related field is preferred.
• A minimum of seven (7) years of related work experience is required.
• Previous experience programming (2 or more languages) is required.
• Previous experience leading projects and/or teams is required.
• Previous experience working in the healthcare and/or consulting industry is preferred.
• Advanced knowledge of big data platforms (i.e. Map/Reduce, YARN, HDFS, etc.), query building (i.e. PL/SQL, HIVE, Impala, Spark, etc.), programming (i.e. R, Python, C, Java, Ruby, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.).
• Advanced statistical modeling skills (i.e. linear and non-linear regression, neural networks, logistic regression, decision trees, gradient boosting machines, support vector machines, random forests, etc.)
• Strong knowledge of statistical testing techniques (i.e. t-tests, chi-squared, ANOVA, etc.).
• Intermediate skills in Microsoft Access, Word, PowerPoint and Excel.
• Strong analytical, organizational and problem-solving skills.
• Advanced written and verbal communication skills.
• Ability to effectively interface and present to management at all levels of the organization.
• Ability to manage multiple projects concurrently.
• Ability to build relationships and work collaboratively with cross-functional teams.

All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.