We anticipate the application window for this opening will close on - 10 Jan 2026

 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

We are seeking a highly experienced and business‑focused Senior Principal Data Scientist to join our Neuromodulation and Pelvic Health (NMPH) team. In this role, you will transform clinical and real‑world data into strategic insights that influence clinical, regulatory, and market decisions. You will report directly to the Senior Statistics Manager and operate as an embedded expert within our statistics organization, while also partnering closely with NMPH leadership to drive key transformation initiatives.

This is a hands-on, impact-oriented role. You will collaborate with cross-functional leaders to define analytical opportunities, shape data strategies, develop predictive models, and create dashboards and tools that guide clinical and regulatory effectiveness. Success in this position requires deep expertise in statistical analysis, machine learning, and AI, combined with strong business acumen and the ability to turn complex data into clear, actionable insights.

At Medtronic, we move with speed and purpose to put patients first. Being onsite at least four days per week is essential to fostering collaboration, professional growth, and innovation as we work together to engineer the extraordinary.

Key Responsibilities

Responsibilities may include, but are not limited to:

Data Science & Analytics

• Develop, explore, clean, transform, and model data to uncover insights, support decisions, and drive competitive advantage.

• Apply advanced statistical analysis to support accurate forecasting, prediction, and classification.

• Analyze clinical trial data, registries, and real‑world data sources (claims, EHR, publications) to identify trends, anomalies, and improvement opportunities.

• Translate complex business questions into structured data science problems and deliver models that shape clinical, regulatory, and market strategies.

• Build and maintain analytical workflows, dashboards, and predictive models that support operational excellence.

AI & Machine Learning

• Utilize AI and ML techniques to accelerate data discovery and enhance analytical efficiency.

• Develop predictive models and machine learning algorithms using state-of-the-art methodologies.

• Integrate repeatable, scalable data science components into enterprise systems and transformation workflows.

Data Management & Visualization

• Maintain analytical systems, validate data integrity, and serve as a liaison to business partners.

• Create visualizations that make analytical outputs accessible and actionable for non‑technical audiences.

• Extend internal datasets with external data sources when needed to improve insights.

• Conduct ad‑hoc analysis and clearly present findings to stakeholders.

Collaboration & Partnership

• Work closely with data architects/engineers and IT partners to align on shared project goals.

• Support cross‑functional teams by identifying data opportunities and building tools that enhance strategy and execution.

Location: Fridley/Rice Creek, MN

Onsite: At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. We’re working onsite 4 days a week to drive performance, foster an environment of belonging, and collaborate to inspire as we engineer the extraordinary. 

Required Qualifications

• Bachelor's degree and a minimum of 10 years of experience in Data Analytics

• OR Advanced degree and a minimum of 8 years of experience in Data Analytics

Nice to Have (Preferred Qualifications)

• Extensive experience translating data science insights into business strategies.

• Expert-level proficiency in Python or R for advanced analytics and modeling.

• Demonstrated experience integrating AI into daily workflows.

• Proven success developing and communicating ML models for predictive and prescriptive analytics.

• Advanced data visualization capabilities.

• Strong understanding of how ML and inferential statistics complement each other in product development.

• Excellent problem-solving, communication, and presentation skills.

• Experience in me