Senior AI & Data Science Engineer - MedTech Insights

MiniMed Group; Northern (KY); Hybrid; USD 112,000 - 190,000; Full time

Benefits offered by this job

Short Term Incentive (STI)

Health, dental, vision insurance

Health Savings Account

401(k) with company match

Employee Stock Purchase Plan

Paid time off

Job summary

MiniMed seeks a Senior AI/Data Science Engineer to deliver big-data analytics that inform product design and quality reporting. You will blend SQL excellence with Python analytics, build data pipelines, and explore AI-assisted development tools to accelerate insights.

The role emphasizes communicating findings to technical and non-technical stakeholders and shaping data infrastructure strategy in a rapidly evolving healthcare tech environment.

Qualifications

• Requires a Bachelor's degree and minimum of 4 years of relevant experience, or advanced degree with a minimum of 2 years relevant experience.
• 3-5 years hands-on experience deriving insights from large datasets; strong SQL and data warehousing skills.
• Proficient in Python data analysis, visualization, and ML tooling; familiarity with AI-assisted coding tools.

Responsibilities

• Partner with engineers and scientists to design analytics models, dashboards, and data pipelines translating product data into actionable insights.
• Design and optimize SQL-based queries and data models across cloud data warehouses including ETL/ELT development.
• Apply Python data analysis and visualization to develop scalable analytical solutions.
• Prototype ML models to support predictive analytics and AI-assisted development tools.

Skills

SQL

Python

Data Visualization

AI Tools

Cloud Platforms

Statistics

Education

Bachelor's degree in data science, CS, Engineering, Statistics, or related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Azure Synapse

Job description

MiniMed seeks a Senior AI/Data Science Engineer to deliver big-data analytics that inform product design and quality reporting. You will blend SQL excellence with Python analytics, build data pipelines, and explore AI-assisted development tools to accelerate insights.

The role emphasizes communicating findings to technical and non-technical stakeholders and shaping data infrastructure strategy in a rapidly evolving healthcare tech environment.