Associate Data Scientist - Remote

1w1 week ago

BlueCross BlueShield of Tennessee

Chattanooga, US · Full-time · $90,000 – $120,000

About this role

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 healthcare experience. Join us as an Associate Data Scientist to support data science work that turns complex data into clear, trusted insights. These insights improve business decision-making across the organization.

In this collaborative role, you’ll work closely with data scientists, engineers, and business partners to shape analytical questions. You’ll build and validate analyses, contribute to data preparation, modeling, and visualization efforts. This happens in a production environment while building your technical skills.

You’ll apply machine learning algorithms to develop predictive models for business applications and extract insights from semi-structured data using NLP. Design and develop data visualizations for data storytelling, and prototype data science products. Coordinate with subject matter experts on data sources from the data warehouse.

Actively participate in department initiatives to develop a best-in-class Data Science function. Complete work with limited day-to-day supervision in a supportive team setting. Continue growing analytical skills through hands-on production work.

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
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
Proficient applying machine learning to data analysis for prediction and classification

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 Data Warehouse, extracts and data exploration tools
Coordinate with appropriate subject matter experts on data source requirements
Design and develop data visualizations for data storytelling
Prototype data science products and applications
Actively participate in the completion of department initiatives to support a best-in-class Data Science function
Complete work with limited day-to-day supervision