Data Scientist

EvidenceCare • Nashville, TN

1d • Onsite

About The Position

We're looking for a Data Scientist to join our team and help healthcare organizations improve outcomes by understanding provider behavior patterns. You'll work at the intersection of statistical modeling, machine learning, and customer engagement—building and supporting analytical solutions that surface actionable insights around discharge practices, lab ordering, procedures, medication orders, and other clinical metrics that impact hospital performance. This isn't a pure research role. You'll need to deeply understand our existing codebase, explain complex methodologies to non-technical stakeholders, and provide hands-on technical support to customers who want to understand why a score or formula produces the results it does.

Requirements

• Strong Python proficiency, including experience reading and working within established codebases (not just writing from scratch)
• Solid foundation in statistical modeling—particularly approaches suited to behavioral analysis such as logistic regression, survival analysis, or propensity scoring
• Experience with machine learning for regression and classification, with an emphasis on interpretability over black-box approaches
• Ability to communicate technical concepts clearly to customers and stakeholders who need to understand and trust the methodology
• Comfortable working in healthcare data environments; familiarity with clinical workflows, quality metrics, or hospital operations is a plus
• A problem-solving mindset: you enjoy figuring out why a model behaves a certain way and can explain it to others

Nice To Haves

• Experience with healthcare claims data, EHR data, or quality/performance measurement
• Background in customer-facing technical roles (solutions engineering, technical support, or consulting)
• Familiarity with behavioral economics or nudge-based intervention design

Responsibilities

• Develop and refine statistical models that identify and score provider behavior patterns (e.g., variation in ordering practices, discharge timing, procedure utilization, medication orders)
• Apply machine learning techniques for regression and classification problems to predict outcomes and segment behaviors
• Dive into our existing Python codebase to understand, maintain, and extend current analytical solutions
• Serve as a technical resource for customers—answering questions about methodology, walking through calculations, and helping them interpret model outputs
• Translate business requirements into analytical approaches: when a customer needs to surface a specific behavior pattern, you'll determine the right statistical framework to make it visible and actionable
• Collaborate with engineering and product teams to integrate models into our platform

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees