AI & Data Analytics Engineer I

USA-Medtronic MiniMed, Inc 1017; Los Angeles (CA); On-site; USD 79,000 - 135,000; Full time

Job summary

MiniMed is seeking an AI/Data Science Engineer I to deliver intelligent analytics and AI-powered solutions. The role blends data science with modern AI engineering, focusing on building end-to-end solutions in the cloud and turning complex data into actionable insights.

The ideal candidate has strong Python foundations, experience with ML models, and a willingness to leverage cutting-edge AI tools to accelerate impact within a healthcare/medtech context.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field and 0 years of experience.
• Hands-on experience in data science, AI/ML, or related roles.
• Proficient in Python for data science and analytical development, including pandas, NumPy, and data visualization libraries.
• Experience building and evaluating ML models using scikit-learn, PyTorch, or TensorFlow.
• Experience deploying models to cloud environments and building AI services (API development).

Responsibilities

• Partner with engineers and scientists to design, build, and deploy AI-powered applications and analytical pipelines.
• Develop, deploy, and maintain ML models and AI services in cloud environments (AWS, Azure, GCP).
• Write clean production-quality Python code and build SQL data models across cloud data warehouses.
• Prototype and iterate on ML models (classification, regression, anomaly detection, NLP).
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python

Data analysis

SQL

ML

Communication

Education

Bachelors in CS/DS/Engineering

Tools

Pandas

NumPy

Matplotlib/Seaborn/Plotly

scikit-learn

PyTorch/TensorFlow

Docker

Kubernetes

Job description

MiniMed is seeking an AI/Data Science Engineer I to deliver intelligent analytics and AI-powered solutions. The role blends data science with modern AI engineering, focusing on building end-to-end solutions in the cloud and turning complex data into actionable insights.

The ideal candidate has strong Python foundations, experience with ML models, and a willingness to leverage cutting-edge AI tools to accelerate impact within a healthcare/medtech context.