TE Connectivity · 16 hours ago
Data Science Manager
TE Connectivity is a global technology leader enabling a safer, more sustainable, and more connected future. The Senior Data Science Manager will serve as a strategic analytics partner, responsible for developing advanced analytical models and generating actionable insights to improve demand forecasting accuracy for sales planning and operations execution.
AutomotiveElectrical DistributionHardwareManufacturingSoftware
Responsibilities
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
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
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
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
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
Qualification
Required
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
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
Benefits
A comprehensive benefits package including health insurance
401(k)
Disability
Life insurance
Employee stock purchase plan
Paid time off
Voluntary benefits
Company
TE Connectivity
TE Connectivity provides and markets engineered electronic components, network solutions, and specialty products.
H1B Sponsorship
TE Connectivity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (85)
2024 (75)
2023 (103)
2022 (93)
2021 (81)
2020 (76)
Funding
Current Stage
Public CompanyTotal Funding
$3.1B2025-04-29Post Ipo Debt· $1.47B
2025-01-28Post Ipo Debt· $782.37M
2024-07-30Post Ipo Debt· $350M
Recent News
2026-01-22
Business News Americas
2026-01-20
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