Data Scientist (Analytics Center of Excellence)
Blue Cross Blue Shield Blue Care Network
- Detroit, MI
- Permanent
- Full-time
- Own/manage lifecycle of the 'data product' in collaboration with functional teams - define the problem, identify/integrate appropriate data sources, iteratively build analytics engine aligning with business goal, operationalize it, and when appropriate retire it.
- Lead discussions with business stakeholders to crisply define what is often a vaguely articulated problem, assist them selecting solution approaches based on the ACOE (Analytics Center of Excellence) recommended analytics approaches considering pros/cons.
- Work closely with ACOE engineering and Enterprise IT (Information Technology) teams to build and implement advanced analytics solutions in production system(s).
- Manage junior data scientists within ACOE, providing project level oversight, technical expertise to contribute to successful project outcomes.
- Provide mentorship and guidance to junior data scientists, fostering a nurturing environment for career growth.
- Bachelor's degree in Computer Science, Statistics, Economics, Engineering, Operations Research, Data Science, Artificial Intelligence or related field is required. Master's degree or PhD in related field is preferred.
- A minimum of six (6) years of related work experience is required.
- Previous experience programming (2 or more languages, including python) 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, SparkSQL, etc.), parallel compute frameworks, programming (i.e. R, Python, C, Java, 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., odds-ratios, t-tests, chi-squared, ANOVA, etc.).
- Experience with code version control systems (e.g., git/GitHub) is required.
- Intermediate skills in Microsoft Access, Word, PowerPoint, and Excel.
- Strong analytical, organizational, and problem-solving skills.
- Experience in managing multiple data-science/analytics projects and leading discussions with business stakeholders.
- Previous experience of building data products is preferred.
- Demonstrable experience of elegantly applying mathematical/algorithmic concepts to solve real-world problems, e.g., greedy algorithm to solve scheduling problem etc.
- Experience with Databricks platform is preferred.
- Advanced written and verbal communication skills.