Data Scientist II (ML Operations)

Medica • Minnetonka, MN

1d • Hybrid

About The Position

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. The Data Scientist II is a hands-on technical contributor responsible for ensuring enterprise data science models and analytics workflows are reliable, observable, and production ready. This role bridges data science development and operational execution by supporting model deployment and monitoring, troubleshooting modeling and coding issues across the ML lifecycle, and improving the reproducibility and maintainability of analytical assets. This position partners closely with Data Scientists, ML Engineers, and platform teams to operationalize models, improve performance and reliability, and advance reusable modeling and monitoring practices. The role also contributes to documentation, process improvement, and scalable analytics engineering patterns that benefit the broader Data Science organization.

Requirements

• Bachelor’s degree in Data Science, Machine Learning, Statistics, Computer Science, Software Engineering, or a related field
• 3+ years of experience in software engineering, data engineering, ML engineering, analytics engineering, data science, or analytics with exposure to production environments
• Strong proficiency in Python and SQL, with demonstrated ability to read, debug, and improve data science and ML code
• Experience supporting or deploying models into production and monitoring model performance over time
• Experience writing clear technical documentation and maintaining reproducible analytical workflows
• Ability to communicate technical concepts clearly and collaborate across teams
• Advanced knowledge of Python, SQL, and data pipeline support practices
• Ability to diagnose and resolve modeling, data, platform, and pipeline issues
• Experience with source control (Git, GitLab, GitHub) and collaborative code review
• Familiarity with cloud platforms and data science development environments
• Strong problem-solving, documentation, and communication skills
• Ability to balance operational execution with continuous improvement
• Ability to work effectively across Data Science, Engineering, IT, and business stakeholders

Nice To Haves

• Master’s degree in a related discipline
• Experience with ML monitoring, model governance, or regulated environments
• Familiarity with MLOps tooling, cloud platforms, and automated pipelines
• Experience working with healthcare data, including claims, clinical, or operational datasets

Responsibilities

• Model Operations & Production Support Implement and support model deployments; assist with CI/CD workflows, retraining processes, and production troubleshooting; ensure models meet operational readiness standards; maintain documentation and runbooks for repeatable operations.
• Performance Monitoring & Reliability Design, implement, and maintain monitoring for model accuracy, drift, stability, data quality, and usage; analyze performance trends and proactively address degradation; support durable fixes for platform and pipeline issues.
• Data Science Modeling Development Contribute to governed, scalable data science pipelines and deployment patterns in partnership with data engineering and IT; improve reproducibility, security, and maintainability across Snowflake, Azure, and related tooling.
• Innovation & Advanced Modeling Development Contribute new approaches, tools, or reusable assets that advance data science capabilities across the organization.

Benefits

• Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees