AI​/ML Computational Theory Lead

Job Summary

The Data Scientist will lead the development and implementation of advanced analytics and machine learning solutions for Vertiv's next-generation technology research initiatives. Drive data science innovation across power systems, thermal management, and AI/ML applications while collaborating with Research Scientists Domain Leads and Technology Strategy teams to enable breakthrough innovations in critical digital infrastructure.

This role will collaborate with research scientists, engineers, and strategy teams to develop predictive models and data-driven solutions.

This role reports to the Advanced Research and Technology Leader and is based in Delaware, OH.

Responsibilities:

* Architect and implement advanced machine learning solutions for complex engineering problems in power systems and thermal management

* Lead the development of AI/ML frameworks supporting next-generation data center infrastructure

* Design and optimize data architecture for research programs across multiple technology domains

* Collaborate with Research Scientists Domain Leads to develop predictive models and analytical solutions

* Drive innovation in data science methodologies for quantum computing and advanced materials research

* Develop complex algorithms for autonomous operations and system optimization

* Provide technical leadership in data science best practices and methodologies

* Mentor junior data engineers and analysts in advanced analytical techniques

* Create sophisticated modeling frameworks for technology evaluation and validation

* Partner with Technology Strategy teams to align data science initiatives with business objectives

Requirements:

* Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred).

* Experience with cloud platforms and big data tools (e.g., AWS, Spark, Hadoop).

* Proficiency in Python, R, or similar programming languages.

* Minimum 3 years of experience in data science, machine learning, or applied statistics.

* Strong communication and collaboration skills.

* Travel: 10% travel for team collaboration, research partnerships, and customer meetings

* Physical and Environmental Demands:

* Office environment with occasional laboratory or data center visits

* Ability to travel domestically and internationally

* May require extended periods at computer workstation

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  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.

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