Kaiser Permanente is looking to solve complex problems by leveraging data to drive informed decision-making and deliver statistical outcomes. This involves designing and developing data pipelines, analyzing complex datasets, building and deploying machine learning models, and ensuring their performance.
Requirements
- Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods.
- Minimum seven (7) years machine learning and/or algorithmic experience.
- Minimum seven (7) years statistical analysis and modeling experience.
- Minimum seven (7) years programming experience.
- 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
- Five (5) years experience working with SQL.
- Ten (10) years experience working with Open Source Tools (e g , R, Python).
Responsibilities
- Overseeing the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats
- Leading and overseeing the development of detailed problem statements outlining hypotheses and their effect on target clients/customers
- Serving as a lead expert in the analysis and investigation of complex data sets
- Overseeing the selection, manipulation and transformation of data into features used in machine learning algorithms
- Training statistical models
- Directing the deployment and maintenance of reliable and efficient models through production
- Ensuring and leading the verification of model performance
Other
- Minimum five (5) years experience in a leadership role with or without direct reports.
- Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum ten (10) 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.
- Promotes learning in others by communicating information and providing advice to drive projects forward; builds collaborative, cross-functional relationships.
- Drives the execution of multiple work streams by identifying member and operational needs; translates business strategy into actionable business requirements; develops and updates new procedures and policies.
- Builds and maintains partnerships with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by generating and delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical senior leadership.
