[Hiring] Data Scientist V - Medicare, ACA, Risk Adjustment @Kaiser Permanente

Role Description

The Prospective Risk Adjustment Operations team is seeking a Data Scientist to support scoping, deploying, and reporting out on projects to support prospective risk adjustment projects. This pivotal role will support the development of foundational reporting and analytical frameworks crucial for identifying and prioritizing prospective risk initiatives, developing and supporting comprehensive reporting and insightful visualization of opportunities and outcomes, and directly supporting strategic decision-making and operational excellence.

• Lead the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats.
• Lead the development of detailed problem statements outlining hypotheses and their effect on target clients/customers.
• Serve as an expert in the analysis and investigation of complex data sets.
• Lead the selection, manipulation, and transformation of data into features used in machine learning algorithms.
• Train statistical models and lead model testing.
• Lead the deployment and maintenance of reliable and efficient models through production.
• Partner with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field.
• Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods.
• Minimum five (5) years machine learning and/or algorithmic experience.
• Minimum five (5) years statistical analysis and modeling experience.
• Minimum five (5) years programming experience.
• Minimum three (3) years experience in a leadership role with or without direct reports.
• Minimum eight (8) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements.

Requirements

• Knowledge, Skills, and Abilities (KSAs):
• Strategic Thinking
• Advanced Quantitative Data Modeling
• Algorithms
• Applied Data Analysis
• Data Extraction
• Data Visualization Tools
• Deep Learning/Neural Networks
• Machine Learning
• Relational Database Management
• Project Management
• Microsoft Excel
• Design Thinking
• Business Intelligence Tools
• Data Manipulation/Wrangling
• Data Ensemble Techniques
• Feature Analysis/Engineering
• Open Source Languages & Tools
• Model Optimization
• Data Architecture
• Data Engineering

Company Description