Data Scientist II (ML Operations)

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.

Key Accountabilities

• 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.
  
  
  
  

Required Qualifications

* 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

Preferred Qualifications

* 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

SKILLS & ABILITIES:

* 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

This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week.

The full salary grade for this position is $72,100 - $123,600. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $72,100 - $97,850. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, 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.

The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.