Blue Cross and Blue Shield of Minnesota is looking to identify areas of opportunity to create process efficiencies, innovate, and provide value using advanced analytics and data science. The goal is to manage complex data and information to provide meaningful results that influence strategic decision-making.
Requirements
- Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
- Proficiency in data science tools such as Python, R, Spark, SQL.
- Experience building predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
- Experience crafting and communicating highly technical results to a diverse audience.
- Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
- Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
- Experience with version control (for example Git Version Control system)
Responsibilities
- Collaborate on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
- Work with senior-level data scientists to convert ambiguous business problems in clear data science/ML specifications - Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
- Collaborate with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
- Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
- Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.
- Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
- Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
Other
- 3+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
- Comfortable working as part of a team.
- 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
- Comfortable working as part of a team and taking the lead.
- High school diploma (or equivalency) and legal authorization to work in the U.S.
