Data Scientist III: ML Pipelines & Production

Kaiser Permanente; Northern (KY); Hybrid; USD 95,000 - 125,000; Full time

Job summary

Kaiser Permanente in the United States seeks an individual contributor to design and develop data pipelines and automation for acquiring and ingesting raw data from multiple sources, under the guidance of senior data scientists. The role focuses on transforming data into usable features for machine learning, training models, and deploying them into production.

You will work with internal and external stakeholders across domains to deliver statistically driven outcomes, verify model performance,

Qualifications

• Minimum two years of experience with Exploratory Data Analysis (EDA) and visualization methods.
• Minimum one year machine learning and/or algorithmic experience.
• Minimum two years statistical analysis and modeling experience.
• Minimum two years programming experience.
• Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum three years experience in data science or a directly related field. Advanced degrees may be substituted for the work experience requirements.

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.
• Writes and optimizes diverse SQL queries and demonstrates knowledge of database fundamentals.
• Analyses data sets, summarizes key characteristics, and visualizes patterns to test hypotheses.
• Develops features used in machine learning and trains models under guidance of senior data scientists.
• Deploys and maintains models in production and verifies performance.
• Collaborates with internal and external stakeholders across domains to deliver statistical driven outcomes.

Skills

Ambiguity/Uncertainty Management

Attention to Detail

Communication

Critical Thinking

Problem Solving

Teamwork

Data Visualization

Decision Making

Learning Agility

Cross-Group Collaboration

Organizational Savvy

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field

Tools

Open Source Languages & Tools

Relational Database Management

Microsoft Excel

Data Visualization Tools

Job description

Kaiser Permanente in the United States seeks an individual contributor to design and develop data pipelines and automation for acquiring and ingesting raw data from multiple sources, under the guidance of senior data scientists. The role focuses on transforming data into usable features for machine learning, training models, and deploying them into production.

You will work with internal and external stakeholders across domains to deliver statistically driven outcomes, verify model performance,