Associate Data Scientist
About The Position
At BlueCross BlueShield of Tennessee, we’re building the foundation for an AI‑enabled future where teams work smarter, operations move faster, and members receive a more responsive and reliable healthcare experience. Join us as an Associate Data Scientist, where you’ll support data science work that helps turn complex data into clear, trusted insights that improve business decision‑making. In this collaborative role, you’ll work closely with data scientists, engineers, and business partners to help shape analytical questions, build and validate analyses, and deliver results that stakeholders can use. You’ll contribute to data preparation, modeling, and visualization efforts while continuing to build your technical and analytical skills in a production environment.
Requirements
- Experience translating business questions into analytical tasks with guidance and support.
- Ability to design, extract, clean, and analyze data from enterprise data sources (e.g., data warehouse extracts) in partnership with SMEs.
- Hands‑on experience applying statistical or machine learning techniques to structured data, with exposure to text or semi‑structured data where needed.
- Experience building or contributing to data visualizations and supporting the data pipelines behind them.
- Software engineering fundamentals in Python, including writing readable, testable, and maintainable code.
- Experience working with APIs and production data interfaces.
- A quality mindset around checking, validating, and documenting analytical results.
- Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
- 3 years of relevant work experience in analytics, technology, or healthcare (academic experience included), or related equivalent experience.
- 1 year experience with machine learning or advanced statistical methods is required
- Experience handling large datasets to build data science pipelines
- Experience writing SQL, and using Data Visualization tools
- Proficient applying machine learning to data analysis for prediction and classification.
- Proficient in Python.
- Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint)
- Excellent oral and written communication skills.
- Strong interpersonal and organizational skills
- Must be a team player and be organized.
- Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability
Nice To Haves
- Master’s and/or PhD degree a plus.
Responsibilities
- Apply Machine Learning algorithms to develop predictive models for business applications.
- Extract meaningful insight from semi-structured and unstructured data sources, including natural language processing (NLP)
- Design, extract, normalize, analyze, review and automate analysis utilizing our Data Warehouse, extracts and data exploration tools; coordinate with appropriate subject matter experts on data source requirements.
- Design & develop data visualizations for data storytelling.
- Actively participates in the completion of department initiatives to support the development of a best-in-class Data Science function.
- Prototype data science products and applications
- Complete work with limited day-to-day supervision.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
