[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Fractal is a strategic AI partner to Fortune 500 companies, aiming to enhance human decision-making through innovative technology. The Data Scientist will design, develop, and deploy AI and machine learning solutions to improve Healthcare Revenue Cycle Management processes, collaborating with various teams to build predictive models and intelligent automation.

Responsibilities

• Develop machine learning, deep learning, and generative AI models to support RCM use cases such as claim outcome prediction, denials classification, next best action recommendation, clinical appeal summarization, and workflow optimization
• Build end to end ML pipelines including feature engineering, model training, hyperparameter tuning, validation, and monitoring
• Research and apply advanced techniques in LLMs, embeddings, retrieval augmentation (RAG), prompt engineering, and document intelligence
• Translate operational and product requirements into measurable model objectives, data specifications, and evaluation frameworks
• Conduct exploratory data analysis (EDA) to understand data patterns, anomalies, and business insights
• Implement and follow best practices around MLOps, including model versioning, reproducibility, feature stores, and drift monitoring
• Partner with Data Engineers to ensure feature availability, data quality, and scalable ML/AI deployment within Azure Databricks and enterprise platforms
• Collaborate with cross-functional teams to communicate insights, present model results, and drive adoption of ML solutions
• Maintain awareness of emerging AI technologies and propose enhancements or new opportunities for Provider Engineering platforms

Skills

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• 8+ years of hands-on experience developing ML or AI models in an applied industry setting (healthcare experience strongly preferred)
• Strong proficiency in Databricks
• Strong proficiency in Python (pandas, scikit-learn, NumPy, TensorFlow, MLflow)
• Strong proficiency in SQL
• Strong working knowledge of GitHub Copilot (or equivalent enterprise-approved AI coding assistant) to accelerate development
• Ability to thrive in a fast-paced environment with rapid prototyping, ambiguity, and iterative delivery
• Self-motivated and solution-oriented; able to independently research, troubleshoot, and identify paths forward when facing technical or data challenges
• Experience working in Azure or similar cloud environments: Azure Databricks (MLflow, Delta Lake), Azure Machine Learning, Azure Data Lake / Azure Data Factory (in partnership with Data Engineering)
• Hands-on experience in at least one of the following: Classification, regression, time series, or recommendation systems; Agentic AI / Large Language Models (LLMs) / RAG
• Strong statistical modeling foundation and experience building production-quality ML systems
• Ability to communicate technical findings to nontechnical stakeholders clearly and effectively
• Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise
• Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows
• Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity
• Knowledge of US healthcare, ideally with Revenue Cycle Management (RCM) experience, including familiarity with EDI transactions such as 837 and 835

Benefits

• Discretionary bonus for the current performance period
• Eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time
• Eligible for benefits on the first day of employment with the Company
• Eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms
• 11 paid holidays
• 12 weeks of Parental Leave
• “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation

Company Overview