Senior Data Scientist

BlueCross BlueShield of Tennessee•Chattanooga, TN

1d•Remote

About The Position

At BlueCross BlueShield of Tennessee, we’re building the foundation for an AI‑enabled future—one where our teams work smarter, our operations move faster, and our members experience a more responsive, reliable, and affordable healthcare journey. Join us as a Senior Data Scientist and you'll help our business teams turn complex data into clear, trusted insights that improve decision-making and outcomes for our 3.4 million members. In this highly collaborative role, you’ll partner across product, engineering, data, and business stakeholders to shape questions into measurable analyses, build models and experiments, and deliver results people can act on. You’ll own the end-to-end work of managing and transforming data for visualization and storytelling, delivering ad-hoc analyses aligned to business requirements, and using appropriate investigative and analytical approaches to interpret and verify results. To do that, you’ll need: Experience translating business problems into analytical approaches (hypotheses, metrics, and decision-ready outputs) and delivering with minimal day-to-day supervision. Strong ability to design, extract, normalize, analyze, and automate analysis using enterprise data sources (e.g., data warehouse/extracts) and coordinate requirements with SMEs. Hands-on experience applying machine learning/statistical techniques to develop predictive models and extract insights from structured and (when needed) semi-/unstructured data (e.g., NLP). Proven track record building data visualizations for data storytelling and managing data pipelines/curation needed to support accurate visuals. A quality mindset for interpreting, validating, and verifying analytical results—ensuring conclusions are sound and reproducible. Strong software engineering fundamentals in Python, including writing readable, testable and maintainable code. Experience working with APIs and production data interfaces. Note: This is a fully remote role, but onsite interviews at our Chattanooga, TN headquarters will be required. Sponsorship is not available for this role.

Requirements

Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
5 years of relevant work experience in analytics, technology or healthcare is required (academic work included), or related equivalent experience
3 years experience with machine learning/advanced statistical techniques is required
Experience writing SQL, and using Data Visualization tools
Demonstrated experience handling large datasets to build data science pipelines
Proficient applying machine learning to data analysis for prediction and classification.
Proficient in Python with intermediate knowledge of big data technologies like spark.
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

Responsibilities

Lead in applying 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)
Lead in designing, extracting, normalizing, analyzing, reviewing and automating analysis utilizing our Data Warehouse, extracts and data exploration tools; coordinate with appropriate subject matter experts on data source requirements.
Lead in designing & developing data visualizations for data storytelling.
Design and develop ad-hoc analysis based on business requirement needs.
Actively participate in the completion of department initiatives to support the development of a best-in-class Data Science function.
Prototype data science products.
Complete work without direct day-to-day supervision, and help guide junior team members when they need assistance.
Stay up-to-date with the latest advancements in data science and related fields, and share with team members to drive innovation
Build strong relationships to understand the business and connect data scientists to business use cases.