Lead Data Scientist

Key Skills

AWS, Data Analysis, Data Modeling, Data science techniques, Design, Effective communication skills, Git, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, SPARK Programming, SQL

Job Description

How is this Role Important to Our Work?

This position works across the Enterprise to identify areas of opportunities to create process efficiencies, innovate and provide value using advanced analytics and data science. The position will manage complex data and information to provide meaningful results, which influence strategic decision-making at Blue Cross. Responsibilities include understanding complex business requirements, data management and stewardship for a variety of complex data sources, data analysis and the application of advanced analytical techniques, and building predictive models to create value for the organization.

A Day in the Life:

• Autonomously lead strategic company initiatives, working across the organization with multiple business stakeholders to ensure success.
• Lead 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.
• Act as mentor across teams around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
• Work with a great deal of autonomy with business partners 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.
• Work hand-in-hand 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

Nice to Have:

• Master's or Ph.D. degree
• Experience with health care data
• Experience with AWS tools
• Experience with version control (for example Git Version Control system)

Required Skills & Experience:

• 8+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
• 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).
• Advanced 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.
• Strong communication skills and ability to deliver highly technical results to a diverse audience.
• Ability to mentor junior data scientists and lead projects autonomously from end-to-end.
• Ability to lead strategic data science initiatives with autonomy.
• ​Proven ability to quickly understand new concepts and to come out with original solutions.

Make A Difference

Blue Cross is an Equal Opportunity and Affirmative Action employer that values diversity. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, color, creed, religion, sex, national origin, genetic information, marital status, status with regard to public assistance, disability, age, veteran status, sexual orientation, gender identity, gender expression, or any other legally protected characteristic.