Senior Data Scientist: ML, Pipelines & Production

Kaiser Permanente; Fulton (MD); On-site; USD 110,000 - 170,000; Full time

Job summary

Kaiser Permanente is seeking a data scientist to design and develop data pipelines and automation for acquiring and ingesting raw data from diverse sources. This role involves transforming data into features for machine learning, training models, and deploying them to production under guidance.

You will work with stakeholders to deliver statistically driven outcomes and insights. The ideal candidate has hands-on experience with EDA, ML, and statistical modeling, plus strong communication and

Qualifications

• Minimum two years of Exploratory Data Analysis (EDA) and visualization experience.
• Minimum one year machine learning and/or algorithmic experience.
• Minimum two years statistical analysis and modeling experience.
• Bachelor's degree in related field and minimum three years experience in data science or related field; advanced degrees may substitute.

Responsibilities

• Build and maintain data pipelines and automation for data acquisition and ingestion from multiple data sources.
• Write and optimize SQL queries; work with database fundamentals.
• Analyze data sets, summarize characteristics, and visualize findings.
• Transform data into features for machine learning models and perform feature engineering.
• Train statistical models under guidance and validate model performance.
• Collaborate with stakeholders to deliver data-driven insights and outcomes.

Skills

Ambiguity Management

Attention to Detail

Business Knowledge

Communication

Critical Thinking

Cross-Group Collaboration

Decision Making

Dependability

Diversity Inclusion

Drives Results

Influencing Others

Integrity

Learning Agility

Organizational Savvy

Problem Solving

Teamwork

Topic-Specific Communication

Education

Bachelor's degree in Mathematics/Statistics/CS/Engineering/Economics/Public Health or related field

Tools

Open Source Languages & Tools

Job description

Kaiser Permanente is seeking a data scientist to design and develop data pipelines and automation for acquiring and ingesting raw data from diverse sources. This role involves transforming data into features for machine learning, training models, and deploying them to production under guidance.

You will work with stakeholders to deliver statistically driven outcomes and insights. The ideal candidate has hands-on experience with EDA, ML, and statistical modeling, plus strong communication and