Data Science Engineer Full Time

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 pipelines, telemetry, model performance dashboards.
• Data Management & Analysis: source, cleanse, and transform time-series and master data; feature engineering.
• Research & Advanced Processing: prototype and evaluate advanced modeling and optimization methods.
• Data-driven Decision Making: deliver models that measurably improve KPIs and inform operational decisions. Core Technical Skills & Tools
• Programming: Python (pandas, NumPy), production code hygiene, testing, and software engineering best practices.
• SQL for data extraction, profiling, and validation.
• Familiarity with statistical modeling, optimization methods, and deep learning modeling concepts — emphasis on strong fundamentals and selecting the right approach for the problem.
• MLOps fundamentals: model packaging, automated training and deployment (CI/CD), containerization (Docker), model monitoring and alerting.
• Ability to design and implement end-to-end solutions: data ingestion, feature engineering, model training, serving, and reporting.
• Communication: ability to present model outcomes, assumptions, and business impact to stakeholders in plain language. Skills & Domain Knowledge (from Demand Planning materials, at a high level)
• Demand Forecasting: framing forecasting problems, producing probabilistic forecasts, and evaluating the impact of uncertainty on decisions.
• Safety Stock & Inventory Concepts: service-level definitions (e.g., Cycle Service Level / Fill Rate), probability-based buffers, and multi-echelon inventory considerations.
• Multi-Echelon & Inventory Optimization: understanding stochastic approaches, policy evaluation, and trade-offs between cost, service, and obsolescence.
• Planning & Scheduling / Factory Optimization: familiarity with formulating and evaluating network flow, LP/MILP, and stochastic optimization models in manufacturing contexts.
• Business Metrics Orientation: focus on improving inventory turns, DSI, fill rates/service level, working capital, and supply risk exposure.

Who You Are (Basic Qualifications)

• Working in School to reach a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Industrial Engineering, Operations Research, Applied Math, or related field.
• Strong programming skills (such as Python, SQL, etc.).
• Solid computer science fundamentals (data structures, algorithms, software design) and disciplined software engineering practices.

What Will Put You Ahead

• Internship or project experience in manufacturing, supply chain, inventory planning, or factory scheduling.
• Experience using agentic coding tools and AI-assisted development workflows is a plus.
• Experience with MLOps tools and CI/CD for ML (e.g., MLflow, Kubeflow, or comparable tooling).
• Experience building developer tooling, templates, or internal platforms.
• Portfolio of data science and software projects demonstrating deployments, services, or integrated solutions.
• Familiarity with container orchestration, cloud services, and event-driven systems. Team, Culture & PBM
• Quick learner who enjoys domain learning — either already familiar with narrow business domains (supply chain, manufacturing) or eager to immerse and learn.
• Strong communicator able to translate technical results into business impact.
• Systems thinker: able to understand, diagnose, and redesign systems and end-to-end data flows (process engineering mindset).
• Comfortable with statistical, optimization, and deep learning concepts and able to learn the practical application for business problems.
• Small, high-velocity team that values rapid prototyping, pragmatic engineering, and close partnership with domain SMEs.
• Mentorship and growth: tailored onboarding, pairing with senior data scientists/engineers, and opportunities to learn advanced forecasting and optimization methods on the job.
• Principles-Based Management (PBM): we operate under PBM and take its five dimensions seriously — Vision; Virtues & Talents; Knowledge Processes; Decision Rights; and Incentives & Rewards.
• Virtues & Talents: act with integrity, curiosity, humility, and a bias for results; cultivate technical and domain talents; seek mentorship and mentor others.

For this role, we anticipate paying $30 per hour. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.

Who We Are

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength – focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes – medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).