We anticipate the application window for this opening will close on - 28 Sep 2026

About the Role

This AI/Data Science Engineer I role is focused on delivering intelligent analytics and AI-powered solutions that turn complex data into actionable insights and drive better decisions across the organization. This role blends applied data science with modern AI engineering practices, and the ideal candidate is a curious, technically strong data scientist who brings solid Python and analytical foundations, can build and deploy end-to-end solutions in cloud environments, and is eager to leverage cutting-edge AI tools to accelerate impact.

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

• Partner with engineers and scientists to design, build, and deploy AI-powered applications and analytical pipelines that translate complex datasets into actionable insights
• Develop, deploy, and maintain machine learning models and AI services to cloud environments (AWS, Azure, or GCP), including API development and model serving infrastructure
• Write clean, production-quality Python code and build SQL-based data models across cloud data warehouse environments, including ETL/ELT pipeline development
• Prototype and iterate on ML models (classification, regression, anomaly detection, NLP) to support predictive analytics use cases
• Actively leverage AI-assisted development tools (e.g., Windsurf, GitHub Copilot, Cursor) to improve development velocity, code quality, and solution design
• Communicate findings clearly to both technical and non-technical stakeholders through polished visualizations, reports, and presentations
• Contribute to data and AI infrastructure strategy, including schema design, data governance, and cloud architecture best practices

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field and 0 years of experience.

Preferred Qualifications

• Hands-on experience in data science, AI/ML, or related roles.
• Python: Proficient in Python for data science and analytical development, including pandas, NumPy, and data visualization libraries (matplotlib, seaborn, plotly)
• AI/ML: Foundational experience building and evaluating ML models using scikit-learn, PyTorch, or TensorFlow
• Cloud: Hands-on experience working with cloud platforms (AWS, Azure, or GCP) - e.g., cloud storage, compute, serverless functions, or managed ML services
• SQL: Proficiency in SQL - joins, aggregations, filtering, and basic query optimization
• Software Engineering: Understanding of software engineering fundamentals - version control (Git), code modularity, testing, and CI/CD concepts
• Statistics: Working knowledge of foundational statistical concepts - hypothesis testing, distributions, regression, and sampling methods applied to real-world datasets
• Communication: Ability to translate technical findings into clear, actionable insights for cross-functional audiences

• LLMs / Generative AI: Familiarity with large language model APIs (OpenAI, Anthropic, etc.), prompt engineering, or building LLM-powered data workflows - strongly preferred
• AI Dev Tools: Active use of AI-assisted coding environments such as Windsurf, GitHub Copilot, or Cursor as part of the daily development workflow - strongly preferred
• Cloud Deployment: Hands-on experience containerizing and deploying models using Docker, Kubernetes, or cloud-native ML services (SageMaker, Azure ML, Vertex AI) - strongly preferred
• Agentic AI Stack: Familiarity with tools and frameworks used to develop, orchestrate, and monitor agentic AI systems, including:
  • Agent frameworks (e.g., LangGraph, AutoGen)
  • Model, retrieval, and memory tooling (e.g., Hugging Face Transformers, Pinecone)
  • Evaluation, guardrails, and observability (e.g., LangSmith, Ragas)
• MCP (Model Context Protocol): Awareness of or hands-on experience with MCP to connect AI models to external tools, databases, or APIs
• API Development: Experience building REST APIs or microservices using FastAPI, Flask, or similar frameworks to serve ML models or data products
• Data Warehousing: Exposure to platforms such as Snowflake, Databricks, BigQuery, or Azure Synapse
• Advanced Statistics: Familiarity with multivariate analysis, survival analysis, or statistical process control (SPC)
• BI Tools: Exposure to Power BI, Tableau, or similar dashboard and reporting platforms
• Data Storytelling: A passion for turning complex data into compelling narratives that drive action
• Medtech / Healthcare: Experience or genuine interest in medical technology, clinical studies, or healthcare data

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

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):$71,000.00 - $121,000.00

For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the salary range is $79,000.00 - $135,000.00 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