Data Science Engineer

Your Job

GSOP&E One Molex Team AI Team (Hub & Spoke across Digital and Molex businesses) This is a hands-on engineering role focused on building, validating, and operating data science models and model-management workflows across priority domains including Demand Forecasting, Inventory Optimization, and Factory (Planning & Scheduling) Optimization.

Projects and priorities will evolve - this role emphasizes adaptability and the ability to apply core data science and engineering principles across problems and business domains.

Location/Work Arrangements: Lisle, IL - Summer Intern - Onsite 4-5 Days Per Week.

Our Team

Molex is a leading provider of electronic solutions, committed to innovation and excellence.

The Digital Transformation business unit is at the heart of Molex's commitment to customer experience.

Our substantial investments in transformative technologies across product development, manufacturing and supply chain bring data-driven decision making to the forefront of our business operations.

We're committed to exceeding expectations by ensuring product quality and reliability, shortening our customers' time to market and preparing for unexpected disruptions that impact business operations for Molex and our customers.

What You Will Do

• Build and productionize AI projects with the One Molex Team to optimization solutions that drive measurable business outcomes.

• Translate supply chain and manufacturing problems into measurable ML/optimization problem statements and success metrics.

• Prototype, validate, and harden models using appropriate statistical, optimization, and deep learning approaches; ensure models are robust, explainable, and uncertainty-aware.

• Implement model-management best practices: versioning, CI/CD for models, automated training pipelines, validation suites, monitoring, drift detection, and retraining triggers.

• Work closely with data engineering and platform teams to ensure high-quality data, feature stores, and scalable inference.

• Instrument solutions with business-facing reporting and dashboards to enable adoption and continuous improvement.

• Build production-quality code and services: package models as APIs/services, containerize for deployment, and integrate with pipelines and orchestration.

• Be capable and willing to create full-stack software solutions as needed - from data ingestion and feature pipelines to model serving and user-facing reports.

• Support optimization and decision models used for SCOE Planning, MFG Planning, SCH Hub operations & inventory policy evaluation, and multi-node supply decisions; translate mathematical formulations into maintainable code and services.

• Collaborate with other data scientists across Molex businesses, capability teams, and our India Technology Center as needed - building integrated solutions from the Central "Hub" team that are delivered and adopted by the business "Spokes." Role Mapping

• Data Science Operations: MLOps pipe...