Principal Data Scientist

This is a fully remote position, open to applicants in Alabama, +24 more states.

📋 Description

• Act as the primary lead delivering precise and high-quality analyses that convert data into effective organizational decisions.

• Offer strategic thought leadership and collaborate with various functional areas to produce joint work products that align with divisional and enterprise strategies.

• Oversee the execution of multiple large and/or intricate data science and engineering projects.

• Drive the development and testing of hypotheses across diverse functional data sets.

• Facilitate requirements-gathering meetings with both business and technical teams.

• Define and implement cohesive data models and data repositories.

• Design and construct scalable data pipelines for data ingestion, cleansing, transformation, integration, and validation.

• Create and develop models utilizing data mining, statistical analysis, predictive modeling, stochastic modeling, pattern recognition, probability analysis, and network analysis.

• Implement production models using Python and R programming languages.

• Engineer data sets, create SQL queries, integrate data, and address data quality challenges.

• Apply Big Data systems principles to data set engineering and analytic model application.

• Lead the development and review of complex analytic models and algorithms.

• Identify actionable insights, suggest recommendations, and influence business directions by conveying results to cross-functional teams.

• Document and test analytic processes, ensuring performance and data validation and verification.

• Collaborate with enterprise business areas to integrate feedback into audit processes.

• Clearly communicate analytic methods and drive business outcomes with relevant business areas.

• Consult with executive leadership and facilitate CoC ideation for Commercial and Medicare initiatives.

• Informally guide analysts and consolidate information into recommendations for executive leadership.

⛳️ Requirements

• Bachelor's degree or an advanced degree where applicable; 10+ years of relevant experience may act as a substitute for the degree.

• 8+ years of experience in a related domain.

• Strong analytical and data science capabilities.

• Familiarity with Snowflake.

• Experience in developing AI Agents.

• Knowledge of Bell curve analysis.

• Ability to integrate industry benchmarks into analyses.

• Experience in conducting outlier detection.

• Significant experience in the healthcare sector.

• Required knowledge of Payment Integrity/Fraud, Waste, and Abuse (FWA) business practices.

• Strongly preferred understanding of FWA concepts, CMS guidelines, and Medical/Reimbursement Policy.

• Authorization to work in the United States.

🏝️ Benefits

• Annual Incentive Bonus based on corporate goal attainment and individual performance.

• 401(k) plan with employer matching contributions.

• Paid Time Off (PTO) benefits.

• Competitive health insurance benefits.

• Wellness program offerings.

• Reasonable accommodations available for applicants with disabilities.