Principal Data Scientist

We anticipate the application window for this opening will close on 16 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 looking for a business‑savvy Principal Data Scientist to support our Contract Performance Management business team, focused on transforming operational and contract‑related data into actionable insights. This role will report solid‑line to business leadership, acting as an embedded expert within the commercial domain, with a dotted‑line reporting to the IT Data Analytics & AI team.

This is a hands‑on role, where you’ll collaborate daily with functional leaders to frame analytical problems, identify data opportunities, build predictive models, and develop actionable dashboards and tools to support pricing strategies and contracting effectiveness. In this role you will apply your data mining skills, statistical analysis and machine learning techniques, combined with business domain knowledge to bring value to the Contract Performance Management group.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In‑person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross‑functional collaboration as we work together to engineer the extraordinary.

Responsibilities

• Analyze contract performance metrics (e.g., rebate utilization, contract compliance, pricing accuracy) to identify trends, anomalies, and improvement opportunities that drive decision‑making based on strategic recommendations and operational efficiency.

• Translate business questions into structured data problems and deliver analytical models and solutions that inform pricing and contract strategies.

• Build and maintain analytic workflows, dashboards, and predictive models directly within Palantir Foundry (or similar platforms).

• Ensure that analytical outputs are accessible, interpretable, and actionable by non‑technical users.

• Develop repeatable and scalable data science components within enterprise platforms that integrate tightly with contract performance operations.

• Analyze large amounts of data to discover trends and patterns.

• Build predictive models and machine‑learning algorithms.

• Present information using data visualization techniques.

• Collaborate with data architects/engineers and data analysts withing the IT group to achieve common project goals.

• Extend the company’s data with third‑party sources of information when needed.

• Processing, cleansing, and verifying the integrity of data used for analysis.

• Perform ad‑hoc analysis and present results in a clear manner.

Must Have

Bachelors degree with a minimum of 7 years of relevant experience, or Advanced degree with a minimum of 5 years of relevant experience.

Nice to Have (Preferred Qualifications)

• Minimum of 5 years of proven experience as a Data Scientist.

• Analytical mindset and deep experience transforming data into business insights.

• Proven experience developing and deploying data science solutions within enterprise‑scale analytics platforms such as Palantir Foundry (strong plus), Databricks, Snowflake, Dataiku, Qlik, Alteryx, Tableau Prep, Azure Synapse, or similar.

• Proficiency in Python or R is required for advanced data analysis and modeling tasks.

• Hands‑on experience building analytics workflows and models in low‑code or no‑code collaborative platforms.

• Experience with data modeling concepts and data lineage in modern data ecosystems.

• Proven experience developing machine learning models for predictive and prescriptive data analysis.

• Experience in data visualization (Power BI/Tableau or similar)

• Strong math skills (e.g. statistics, algebra).

• Problem‑solving attitude.

• Excellent communication and presentation skills.

• Experience working directly with commercial, pricing, contracting or finance teams in a data science capacity.

• Medical devices,…