AI & Data Science Engineer II — GenAI & Big-Data Innovator

USA-Medtronic MiniMed, Inc 1017; Minnesota; Presencial; USD 87.000 - 149.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) match

Paid time off

Descripción de la vacante

MiniMed is seeking an AI/Data Science Engineer II to drive big-data analytics and AI solutions that support decision making in product design and quality reporting. You will bridge applied data science and AI to enable smarter decisions, requiring strong Python and SQL skills, statistics, ML, and growing interest in GenAI-based solutions.

Responsibilities include designing models, dashboards, data pipelines, developing Python analyses with Pandas/Plotly, building SQL data models, and prototyping

Formación

• Requires a bachelor’s degree and minimum of 2 years of relevant experience, or advanced degree with 0 years.
• Education: Data Science, CS, Engineering, Statistics, or related field.
• 3–5 years hands-on experience deriving insights from large datasets.
• Proficient in Python with Pandas and data visualization libraries.
• Advanced SQL: complex joins, window functions, CTEs, optimization.
• Experience with cloud-based data warehousing platforms.

Responsabilidades

• Design and deliver analytical models, dashboards, and data pipelines for product design insights.
• Apply Python-based analysis and visualization tools to build scalable solutions.
• Build and optimize SQL data models across cloud data warehouses and ETL/ELT pipelines.
• Prototype ML models and explore AI-assisted development tools for faster delivery.

Conocimientos

Python

SQL

Statistics

GenAI

Data visualization

Big data

Communication

Educación

Bachelor’s degree in Data Science

Bachelor’s degree in CS/Engineering/Statistics

Herramientas

Databricks

Snowflake

AWS Redshift

BigQuery

Azure Synapse

Pandas

Plotly

Copilot/Windsurf

Descripción del empleo

MiniMed is seeking an AI/Data Science Engineer II to drive big-data analytics and AI solutions that support decision making in product design and quality reporting. You will bridge applied data science and AI to enable smarter decisions, requiring strong Python and SQL skills, statistics, ML, and growing interest in GenAI-based solutions.

Responsibilities include designing models, dashboards, data pipelines, developing Python analyses with Pandas/Plotly, building SQL data models, and prototyping