Data Scientist - Advanced Manufacturing

Job Description

Global Footprint & Capacity Data Analysis

• Design, build, and maintain scalable analytical frameworks and data models that enable rapid, data-driven decision making related to capacity allocation, footprint strategy, and growth planning.
• Develop constraint detection logic, capacity utilization metrics, and early-warning indicators to proactively surface risks before they impact customer commitments.
• Translate complex, multi-source datasets into clear insights, scenarios, and recommendations for executive and customer-facing decision making.
• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

Capacity Planning & Optimization

• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

Cross-Functional & Global Analytics Collaboration

• Collaborate with Engineering, Operations, Supply Chain, and Finance to define analytical assumptions, data definitions, and decision criteria for strategic manufacturing initiatives.
• Coordinate across global teams to standardize analytics methodologies, models, and planning tools for footprint and capacity analysis.
• Drive regional alignment and standardization of global data analytics best practices to support consistency and drive process maturity

Data-Driven Decision Intelligence

• Leverage and integrate data from MES, ERP, capacity planning tools, and external sources to support strategic manufacturing analysis.
• Design and maintain cost, utilization, and capacity models that enable fast, repeatable scenario evaluation and executive decision making.
• Translate complex datasets into clear insights, visualizations, and recommendations for senior leadership and customer-facing discussions.

Process Standardization & Scalable Analytics

• Enable scalable manufacturing strategies by embedding analytics into modular BoP approaches and digital factory initiatives.
• Support new product introductions by applying data-driven manufacturability and capacity-readiness assessments early in the design and planning process.
• Continuously improve analytical frameworks to enhance speed, accuracy, and consistency of global footprint and capacity decisions. Global Footprint & Capacity Data Analysis
• Design, build, and maintain scalable analytical frameworks and data models that enable rapid, data-driven decision making related to capacity allocation, footprint strategy, and growth planning.
• Develop constraint detection logic, capacity utilization metrics, and early-warning indicators to proactively surface risks before they impact customer commitments.
• Translate complex, multi-source datasets into clear insights, scenarios, and recommendations for executive and customer-facing decision making.
• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

Education and Requirements

• Bachelor’s Degree in: Data Science/Analytics/Statistics, Computer Science, Industrial Engineering, Operations Research, Manufacturing Engineering, Supply Chain / Logistics, Mathematics, Physics, or Economics (quantitative focus)
• 3-5+ years of experience in data analysis, manufacturing analytics, capacity planning, or operations strategy.
• Proven experience with global manufacturing operations, footprint optimization, or capacity modeling.
• Experience building analytical frameworks, scenario models, or data-driven decision tools for executives or cross-functional teams.
• Demonstrated ability to work effectively in a cross-functional environment across a diverse, global team
• Strong proficiency in AI Agent building/modeling, SQL, Python, R, or other data analysis tools.
• Experience with ERP/MES systems, BI tools (Power BI, Tableau), and capacity planning software.
• Expertise in statistical analysis, scenario modeling, forecasting, optimization, and KPIs for manufacturing or supply chain.

Travelling:

10%

The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPALS : Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

• Customer Focus
• Operational Excellence
• High-Performance Culture
• Innovation
• Financial Strength

OUR BEHAVIORS

• Own It
• Act With Urgency
• Foster a Customer-First Mindset
• Think Big and Execute
• Lead by Example
• Drive Continuous Improvement
• Learn and Seek Out Development

About Vertiv

Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers’ vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected].

About The Team

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.