Job Description
Molex is a leading provider of electronic solutions, committed to innovation and excellence. The Data Science Engineer role involves building, validating, and operating data science models focused on Demand Forecasting, Inventory Optimization, and Factory Planning & Scheduling Optimization, requiring adaptability and core data science principles.
Responsibilities
- Build and productionize forecasting, inventory, and factory 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 factory planning, 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
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Industrial Engineering, Operations Research, Applied Math, or related field
- Fresh graduates or up to 2 years of relevant experience encouraged to apply
- Strong programming skills (such as Python, SQL, etc.)
- Solid computer science fundamentals (data structures, algorithms, software design) and disciplined software engineering practices
- Must have legal authorization to work permanently in the United States without visa sponsorship
- 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
- 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
Benefits
- Medical
- Dental
- Vision
- Flexible spending and health savings accounts
- Life insurance
- ADD
- Disability
- Retirement
- Paid vacation/time off
- Educational assistance
- Infertility assistance
- Paid parental leave
- Adoption assistance
Company Overview
Apply To This Job