Bachelor's degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related quantitative field; Master's degree 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
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
Experience with BI and data visualization tools such as Power BI or Tableau
Demonstrated ability to communicate complex analytical concepts clearly to non-technical business and operations stakeholders
Proven ability to work effectively in cross-functional, matrixed environments with multiple competing priorities and ambiguous problem definitions
Nice to have
Master's or Ph.D. in a quantitative discipline
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
Familiarity with MLOps platforms such as MLflow, Azure Machine Learning, or AWS SageMaker
Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
Experience working with IoT or IoT sensor data and time-series data pipelines
Knowledge of Lean Manufacturing or Six Sigma methodologies; Green Belt or Black Belt certification a plus
Full description
We anticipate the application window for this opening will close on - 6 Nov 2026
At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
About the Role
Candidates can work either of our Northridge CA office or our St. Louis Park MN office. Must be onsite 3 days per week/2 day remote.
MiniMed is seeking a Senior AI/Data Science Engineer to join our Data Science team in a dedicated capacity supporting manufacturing, supply chain, operations, and new product introduction (NPI) functions.
This 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.
Essential Duties and 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
Required Qualifications
Bachelor's degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related quantitative field; Master's degree preferred
Sr AI/Data Science Engineer at mdtkangaroo (Northridge, California, United States of America) — aijobsearch
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
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
Experience with BI and data visualization tools such as Power BI or Tableau
Demonstrated ability to communicate complex analytical concepts clearly to non-technical business and operations stakeholders
Proven ability to work effectively in cross-functional, matrixed environments with multiple competing priorities and ambiguous problem definitions
#BetterDaysStartNow
Preferred Qualifications
Master's or Ph.D. in a quantitative discipline
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
Familiarity with MLOps platforms such as MLflow, Azure Machine Learning, or AWS SageMaker
Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar
Experience working with IoT or IoT sensor data and time-series data pipelines
Knowledge of Lean Manufacturing or Six Sigma methodologies; Green Belt or Black Belt certification a plus
Physical and Environmental Requirements
Primarily office and hybrid work environment
Occasional visits to manufacturing floor environments may be required
Ability to work at a computer workstation for extended periods
Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
Benefits & CompensationMiniMed offers a competitive salary and flexible benefits package
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.
Salary ranges for U.S (excl. PR) locations (USD):$112,000.00 - $190,000.00For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $112,000.00 - $190,000.00 USD.
Actual compensation may vary based on factors including experience, education, certifications, skills, market conditions, internal equity, and geographic location. Compensation and benefits information pertain 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.
MiniMed Benefits Overview
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. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.
If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.