We anticipate the application window for this opening will close on - 7 Jul 2026

About the Role

This AI/Data Science Engineer II role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with applied data science to enable smarter product design decisions and robust quality reporting and investigation support. The ideal candidate combines deep SQL expertise, proficiency in modern data warehouse technologies, and strong Python-based data analysis skills, along with a growing interest in AI-augmented development tools.

Responsibilities may include the following and other duties may be assigned.

• Partner with engineers and scientists to design and deliver analytical models, dashboards, and data pipelines that translate complex product datasets into actionable insights supporting product design decisions
• Design, build, and optimize SQL-based queries and data models across large-scale relational and cloud data warehouse environments, including ETL/ELT pipeline development and maintenance
• Apply Python-based data analysis and visualization tools (pandas, matplotlib, seaborn, plotly, etc.) to develop scalable, reusable analytical solutions
• Explore and integrate AI-assisted development tools (e.g., Windsurf, GitHub Copilot) to improve development velocity and code quality, and prototype machine learning models to support predictive analytics use cases.
• Communicate findings clearly to both technical and non-technical stakeholders through polished visualizations, reports, and presentations.
• Contribute to data infrastructure strategy, including schema design, data governance, and warehouse performance

Required Knowledge and Experience:
Requires a Bachelor's Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.

Preferred Qualifications:

• Education: Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field

• Experience: 3-5 years (1-3 years if master's degree) of hands-on experience deriving insights and driving decisions from large, complex datasets

• SQL: Advanced proficiency - complex joins, window functions, CTEs, query optimization

• Data Warehousing: Hands-on experience with platforms such as Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse

• Python: Proficient in pandas, NumPy, and data visualization libraries (matplotlib, seaborn, plotly)

• Statistics: Solid working knowledge of foundational statistical concepts - hypothesis testing, distributions, regression, and sampling methods - applied to real-world product and quality datasets

• Communication: Ability to translate technical findings into clear, actionable insights for cross-functional audiences

• Data Pipelines: Familiarity with ETL/ELT workflows and pipeline tooling

• Cloud: Experience with cloud platforms (AWS, Azure, GCP) in a data context

• MedTech / Healthcare: Experience or genuine interest in medical technology, clinical studies, or healthcare data - strongly preferred

• Data Storytelling: A passion for turning complex data into compelling narratives that drive action - strongly preferred

• Advanced Statistics: Familiarity with advanced statistical techniques such as multivariate analysis, survival analysis, or statistical process control (SPC)

• AI Dev Tools: Experience with AI-assisted coding environments such as Windsurf, GitHub Copilot, or similar

• ML/Modeling: Familiarity with scikit-learn or similar ML frameworks for classification, regression, or anomaly detection

• BI Tools: Experience with Power BI, Tableau, or similar dashboard/reporting platforms

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 & Compensation

MiniMed offers a competitive salary and flexible benefits package

Salary ranges for U.S (excl. PR) locations (USD):$87,000.00 - $149,000.00

For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $87,000.00 - $149,000.00 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.

MiniMed Benefits Overview