SR. DATA SCIENTIST

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

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Job Overview

About TE Connectivity

 

TE Connectivity is a global technology leader enabling a safer, more sustainable, more productive, and more connected future. With more than 85,000 employees across 140+ countries, TE partners with customers to solve the world’s toughest engineering challenges through connectivity and sensor solutions.

 

At TE, we believe data and analytics are a strategic advantage. Our Commercial Excellence and Supply Chain organizations rely on advanced analytics to improve forecasting accuracy, drive profitable growth, and enable faster, better decisions across the enterprise

 

The Senior Data Science Role will serve as a strategic analytics partner to TE’s commercial, finance and supply chain organizations. This role is responsible for developing advanced analytical models, generating actionable insights, and improving demand forecasting accuracy to support sales planning, operations execution, and business strategy.

 

This position sits in the Americas Commercial Excellence organization and at the intersection of commercial performance, demand planning, and supply chain execution — translating complex data into clear, decision-ready insights that directly impact revenue, margin, and customer service.

 

Key Responsibilities

Commercial & Business Insights

• Partner with Sales, Commercial Excellence, and Finance to define performance KPIs and develop analytics that drive pricing, margin, pipeline, and customer growth decisions
• Build analytical models to identify commercial trends, risks, opportunities, and performance drivers
• Deliver executive-ready insights through dashboards, storytelling, and business recommendations

 

Forecasting & Demand Analytics

• Analyze historical demand, order patterns, backlog, inventory, and lead-time signals to improve forecast accuracy
• Partner with Supply Chain, S&OP, and Operations teams to embed forecasting insights into planning processes

 

Advanced Analytics & Modeling

• Apply statistical modeling, time-series forecasting, machine learning, and optimization techniques to solve business problems
• Assist in developing scenario models to support capacity planning, inventory optimization, and commercial tradeoffs

 

Data Engineering & Enablement

• Work closely with IT and data analytics teams to ensure clean, reliable, and well-governed data pipelines
• Build scalable analytics solutions using Python, SQL, and BI platforms
• Enable self-service analytics through customized insights, standardized KPIs, and automation

 

Stakeholder Partnership

• Serve as a trusted analytics advisor to senior commercial and supply chain leaders
• Translate complex technical outputs into clear business actions
• Influence decision-making through data-driven storytelling

What your background should look like:

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Operations Research, or related quantitative field
• 5+ years of experience in data science, advanced analytics, or forecasting roles
• Strong proficiency in Python, R, SQL
• Deep experience with forecasting methods (exponential smoothing, regression, ML-based forecasting)
• Strong statistical foundation (hypothesis testing, inference, experimental design)
• Experience working with large enterprise datasets in ERP (SAP), CRM (Salesforce.com), supply chain systems(IBP)
• Proven ability to communicate complex analytics to non-technical stakeholders

 

Preferred Qualifications

• Experience in manufacturing, industrial, automotive, energy, or OEM environments
• Familiarity with SAP / ERP data structures (order management, demand, inventory, production, lead time)
• Experience with Power BI, Tableau
• Exposure to cloud analytics platforms (Databricks, Snowflake, Azure, AWS)
• Experience supporting S&OP, demand planning, or supply chain planning organizations

 

Competencies & Attributes

• Strong business acumen with a passion for solving real-world commercial and operational problems