Data Scientist

JOB SUMMARY:

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools.

PRINCIPAL DUTIES & RESPONSIBILITIES:

Analyze product reliability requirements

Create predictive models for field performance and product reliability

Assist in design of experiments and analysis to understand impacts of different design decisions and test results

Correlate predictive models with test results and field data REQUIREMENTS:

Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience

1-5 years of experience

Basic knowledge in power/electrical engineering; AC and DC power <20kVA circuits, IGBTs, inverters, rectifiers, microprocessor and sensor interfacing, firmware interfacing, DC batteries, connectors/wire- harnesses

Basic knowledge in large- and small-scale cooling systems

LabVIEW, Python, or other coding and modeling language

Minitab or other statistical software tools

Power BI or other data visualization tools

Travel 15%

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.