Data Scientist - Manufacturing Operations

About the job

Drive global manufacturing strategy by turning complex capacity, footprint, and demand data into actionable insights. Enable decision-making capabilities of leadership to meet Hyperscale customer requirements. Build and maintain analytical models and scenario tools to optimize capacity, identify constraints, and support growth planning. Utilize AI to build Agents to enable quick iteration of potential scenarios. Collaborate with Engineering, Operations, Supply Chain, and Finance to deliver data-driven recommendations that guide executive decisions and strategic footprint initiatives.

Responsibilities

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.

• 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.

Capacity Planning & Optimization

• Collaborate with Engineering, Operations, Supply Chain, and Finance to define analytical assumptions, data definitions, and decision criteria for strategic manufacturing initiatives.

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.

Education and Certifications

• 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)

Requirements

• 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.

Years of Experience: 3-5

Travel Requirements: 10%

No Special Physical Requirements

About Us

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

OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.

OUR STRATEGIC PRIORITIES

• High-Performance Culture

• Customer Focus

• Operational Excellence

• Innovation

• Financial Strength

VERTIV 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

• Promote transparent & open communication

About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 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 help.join@vertiv.com

Additional Information

• Job Identification: 20283571
• Job Category: Data Science Analytics
• Posting Date: 2026-10-26