Job Information
United Rentals Data Scientist, Performance Analytics in Stamford, Connecticut
Great company. Great people. Great opportunities.
If you’d like the chance to make your mark with the world’s largest equipment rental provider, come build your future with United Rentals!
The Data Scientist of Performance Analytics will support the company’s efforts to use analytics, data science, data mining, AI and GenAI to drive improved decision making, increased return on investment and profitable growth. Will be a key team member on projects that demonstrate the use of Analytical, Data Science, AI, and GenAI techniques throughout the organization. As part of the Performance Analytics team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP & LLM.
What you’ll do:
Identify areas where the company’s data can be leveraged with analytical skills and measure/track success of predicted data and results.
Designs experiments, test hypotheses, and build models. Applies statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.
Leverage SQL skills to understand data and to combine multiple data sets into analysis ready data files.
Leverage Python and other programming tools to build prototypes in areas of AI, Machine Learning, and Gen AI.
Develop and maintain strong relationships at both the field and corporate level in order to operationalize and take action from the learning from the data analytics.
Building proof of concepts and expose the core logic in a UI or existing front end.
Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
Run data queries and analyze data to test data for future production usage.
Other duties assigned as needed.
Requirements:
Master of Science in Computer Science, Information Management, Statistics, Econometrics, Operations Research or Analytical/Quantitative Methods
3-5 years progressive analysis and data science experience
Strong experience in: SQL or other programming language; Python or similar high level programming language
AWS or similar experience in handling cloud platforms and LLM tools and programming preferred
API development and experience in developing new tools and presenting them to all levels
Strong business acumen and communication & interpersonal skills
Analytical and problem solving skills with knowledge of related technology tools
<10% travel
Why join us?
We don’t just “talk the talk!” We’re an award-winning company (recently named a Glassdoor Best Place to Work in 2023) that truly cares about our people - That’s why we offer best-in-class benefits and perks that will support you and your family. In addition to our health and financial plans, we also offer:
Paid Parental Leave
United Compassion Fund (http://jobs.unitedrentals.com/creative/culture)
Employee Discount Program
Career Development & Promotional Opportunities
Additional Vacation Buy Up Program (US Only)
Early Wage Access through Payactiv (US Hourly Only)
Paid Sick Leave
An inclusive and welcoming culture (http://jobs.unitedrentals.com/creative/diversity)
Learn more about our full US benefit offerings (http://unitedrentalsbenefits.com/) here.
Mutual respect for the dignity and fundamental rights of all persons defines our culture. United Rentals, Inc. is an Equal Opportunity Employer and makes employment decisions regardless of race, color, religion, sex, national origin, age, genetic information, citizenship status, veteran status, sexual orientation, gender identity, disability, or any other status protected by law. If you need a reasonable accommodation at any point of the application process, please email careers@ur.com for assistance.
United Rentals consists of a wide variety of roles with different duties and responsibilities. The actual pay rate offered to candidates varies depending upon a wide range of factors including specific position, education, training, experience, skills, and ability.