Senior AI/Data Science Engineer – Manufacturing & Operations

About the role

MiniMed is seeking a Senior AI/Data Science Engineer – Manufacturing & Operations to join our Data Science team in a dedicated capacity supporting manufacturing, supply chain, operations, and new product introduction (NPI) functions.

The role is responsible for accelerating the evolution of our cloud data infrastructure for manufacturing data sources, solidifying trusted operational metrics, supporting root cause investigations with advanced analytics, and progressively delivering predictive and AI-driven solutions that improve how we design, build, and deliver our products.

The ideal candidate is a technically strong data scientist with experience in supply chain, manufacturing, or a related industry who thrives in complex, cross-functional environments.

Responsibilities

• Contribute to the maturation of MiniMed's manufacturing data pipelines, identifying critical data elements required for advanced analytics and partnering with data engineering teams to drive changes through requirements, development, validation, and production deployment
• Deliver measurable improvements in operational excellence and cost efficiency by converting complex operational datasets into actionable, governed insights - rationalizing fragmented reporting, establishing authoritative source-of-truth metrics, and enabling confident decision-making across the organization
• Provide advanced analytical support for root cause investigations, bringing statistical rigor and computational depth to isolate sources of variation and accelerate resolution of critical quality and process challenges
• Identify opportunities and implement modern AI and machine learning integration across manufacturing, supply chain, operations, and NPI functions, balancing technical ambition against practical realities including data readiness, regulatory considerations, and demonstrable business value. Target new technology implementation towards problem solving
• Serve as the dedicated data science partner to operational functions, developing deep domain fluency and trusted cross-functional relationships; advance the maturity of the broader Data Science team through reusable tooling, documentation standards, and technical mentorship

Requirements

• Bachelor’s degree with 4+ years of relevant experience; or advanced degree with 2+ years of relevant experience
• Familiarity with manufacturing execution system (MES) and ERP systems data structures
• Proficient in Python for data science and ML development, including libraries such as pandas, scikit-learn, PyTorch, and TensorFlow
• Strong SQL skills and demonstrated experience working with cloud data platforms such as Databricks, Snowflake, Azure, and AWS
• Experience developing and deploying production machine learning models and analytical pipelines
• Exposure to computer vision, NLP, or generative AI applications in an industrial or operational context
• Demonstrated ability to communicate complex analytical concepts clearly to non-technical business and operations stakeholders
• Prominent ability to work effectively in cross-functional, matrixed environments with multiple competing priorities and ambiguous problem definitions
• Solid foundation in statistical methods including hypothesis testing, regression analysis, statistical process control, design of experiments, and process capability analysis
• Experience working in a regulated industry such as medical devices, pharmaceuticals, or aerospace, with familiarity with FDA data integrity requirements or GxP standards
• Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
• Knowledge of Lean Manufacturing or Six Sigma methodologies; Green Belt or Black Belt certification a plus

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related field, Master's or Ph.D. in quantitative discipline preferred
• 5 or more years of applied data science or machine learning engineering experience, with meaningful experience in a manufacturing, supply chain, or industrial operations environment

Skills

• Python for data science and ML development
• SQL skills
• Cloud data platforms such as Databricks, Snowflake, Azure, and AWS
• Computer vision, NLP, or generative AI applications in an industrial or operational context
• BI and data visualization tools such as Power BI or Tableau
• Statistical methods including hypothesis testing, regression analysis, statistical process control, design of experiments, and process capability analysis
• AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
• Lean Manufacturing or Six Sigma methodologies

Benefits & Compensation

At MiniMed, we offer a competitive salary and flexible benefits package. Salary ranges for U.S. (excl. PR) locations (USD): $112,000.00 - $190,000.00 For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $124,000.00 - $212,000.00 USD. Actual compensation may vary based on factors including experience, education, certifications, skills, market conditions, internal equity, and geographic location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).

This position is eligible for a short-term incentive called the Short Term Incentive (STI).

At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account.

In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program.

Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements.

Please note that “regular employees” refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.

For further details about our comprehensive benefits, we encourage you to visit the link below.

About MiniMed

MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey — when and how they need it. For more than 40 years, we’ve been committed to redefining what’s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it’s needed most.

At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.

Learn more about our business, and our mission here.

It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.