Data Scientist II

Kaiser Permanente • Oakland, CA

251d

About The Position

The Entry-Level Data Scientist will support Government Programs' Risk Adjustment team by applying foundational data science skills to analyze healthcare data and contribute to data-driven solutions. This role offers the opportunity to work with Medicare Advantage, ACA, and Medicaid data, supporting efforts to improve risk score accuracy, ensure regulatory compliance, and enhance program performance. Working under the guidance of senior data scientists, this role involves using Python and cloud-based analytics tools to clean, analyze, and visualize data from sources such as claims, encounter, and enrollment records. The ideal candidate has a degree in data science or a related field, exposure to machine learning and statistical techniques, and a strong interest in applying data to real-world healthcare challenges. This is a collaborative role with opportunities to learn from experienced team members while contributing to impactful projects that support data-informed decision-making across clinical, actuarial, and operational teams.

Requirements

• Minimum one (1) year statistical analysis and modeling experience.
• Minimum one (1) year programming experience.
• Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field OR Minimum two (2) years experience in data science or a directly related field.
• Advanced degrees may be substituted for the work experience requirements.

Nice To Haves

• Knowledge of Advanced Quantitative Data Modeling.
• Experience with Applied Data Analysis.
• Familiarity with Data Visualization Tools.
• Experience in Relational Database Management.
• Proficiency in Microsoft Excel.
• Understanding of Design Thinking.
• Experience with Business Intelligence Tools.
• Skills in Data Manipulation/Wrangling.
• Familiarity with Open Source Languages & Tools.
• Knowledge of Model Optimization.
• Experience with Algorithms and Machine Learning.
• Familiarity with Data Ensemble Techniques.
• Experience in Feature Analysis/Engineering.

Responsibilities

• Participates in the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats under the guidance of more senior data scientists.
• Assists in the development of detailed problem statements outlining hypotheses and their effect on target clients/customers.
• Analyzes and investigates data sets and summarizes key characteristics.
• Selects, manipulates, and transforms data into features used in machine learning algorithms under the guidance of more senior data scientists.
• Trains statistical models under the guidance of more senior data scientists.
• Assists with the deployment and maintenance of reliable and efficient models through production.
• Examines model performance and identifies feedback to inform and strengthen model performance.
• Works with internal and external stakeholders under the guidance of more senior data scientists to develop and deliver statistical driven outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Ambulatory Health Care Services
• Education Level: Bachelor's degree