Data Scientist (Dallas)

Data Scientist

Rhapsody is expanding its AI and data science capabilities to drive experimentation, predictive modeling, system evaluation, and actionable insights across our product ecosystem. We're hiring a Data Scientist to contribute to high-impact initiativesincluding ML-based patient matching, churn prediction, forecasting, and GenAI workflow support.

You'll work closely with AI and engineering teammates to evaluate models, build predictive solutions, and uncover insights that improve both product performance and internal decision-making. This role offers the opportunity to work across a wide range of data science projectsfrom improving patient-matching logic to analyzing GenAI behaviorand to help shape how data science evolves across the company.

Key responsibilities include :

• Analyze outputs and feedback data from AI systems to identify quality gaps, failure patterns, and opportunities for improvement; help define signals and metrics that guide model refinement and evaluation
• Contribute to the development and evaluation of the patient matching system, including analysis of existing logic, feature design, model exploration, and performance improvement
• Build and evaluate predictive models for use cases such as churn, revenue forecasting, and risk scoring
• Collaborate on model evaluation pipelines for both structured ML and GenAI workflows
• Uncover patterns in data and identify opportunities where data science techniques can improve existing workflows or decision logiceven when the path isn't strictly model-driven
• Analyze system behavior through performance metrics, interaction logs, and failure patterns to guide iteration
• Develop dashboards, reports, and datasets to inform AI, product, and business teams
• Collaborate with AI Engineers on LLM and GenAI-related initiatives
• Learn and apply best practices in testing, validation, and explainability for ML and AI-driven systems

Qualifications :

Preferred :

Education :