Senior Data Scientist, Healthcare Risk & AI

Kaiser Permanente; Oakland (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

KAISER Permanente Oakland seeks a Data Scientist III to design data pipelines, cleanse data, and develop predictive models to improve risk adjustment data quality and throughput. You will deploy models and collaborate with clinical and analytics teams to deliver statistically driven outcomes.

The role emphasizes Python, SQL, Databricks, and healthcare analytics experience, with strong communication and problem-solving skills essential.

Qualifications

• Minimum two years of EDA and visualization experience.
• Minimum one year of ML or algorithmic experience.
• Minimum two years of statistical analysis and modeling.
• Minimum two years of programming experience.
• Bachelor's degree in Math/Stats/CS/Engineering or related field; 3+ years in data science.

Responsibilities

• Participates in the design and development of data pipelines and automation for data ingestion.
• Transforms, cleanses, and stores data for features used in ML models.
• Trains statistical models and deploys them to production under guidance.
• Collaborates with stakeholders across domains to deliver data-driven insights.

Skills

Data modeling

Algorithms

Open source tools

Machine Learning

Microsoft Excel

Relational databases

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Databricks

Pandas

Excel

Job description

KAISER Permanente Oakland seeks a Data Scientist III to design data pipelines, cleanse data, and develop predictive models to improve risk adjustment data quality and throughput. You will deploy models and collaborate with clinical and analytics teams to deliver statistically driven outcomes.

The role emphasizes Python, SQL, Databricks, and healthcare analytics experience, with strong communication and problem-solving skills essential.