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Lead Analyst, Data Science

Date: Jan 10, 2022

Location: Ann Arbor, MI, US, 48018

Company: XPO Logistics


Solutions driven success.


XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO Logistics, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. 


As the Lead Analyst, Data Science – Pricing, you’ll utilize a variety of tools and techniques to impact many facets of the organization’s core business segments. As a member of our team, you’ll have committed support to excel at work and the resources to build a career you’ll be proud of. If you’re looking for an outstanding growth opportunity, join us at XPO.


Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.


What you’ll do on a typical day:

  • Work within revenue management and commercial groups to creatively solve business problems by understanding business processes and applied economics to identify and implement solutions that will drive revenue performance
  • Defines and solves complex problems through quantitative analysis and analytical models, using operations research, statistics, predictive modeling, machine learning, and forecasting techniques
  • Builds mathematical models, develops applications, and provides support to the business. Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems
  • Formulates hypotheses and design tests to support business. Leverages statistics to evaluate tests that will drive positive revenue decisions
  • Able to structure and deliver professional presentations and communications around complex topics targeted to varied audiences
  • Partners with Information Technology to implement prototype solutions and improve systems
  • Collect, pull, and push data to back-end storage using coding languages and data analysis technologies

What you need to succeed at XPO:

At a minimum, you’ll need:

  • Bachelor's degree or equivalent related work or military experience
  • 4 years of industry experience developing predictive and prescriptive science models
  • Deep knowledge of Econometrics, Pricing, Statistics and Probability Theory
  • Experience with advanced machine learning and cloud-based computing
  • Advanced programming and data mining skills
  • Proficiency with SQL

It’d be great if you also have:

  • Advanced degree in Economics, Mathematics or Statistics
  • 3 years of professional experience in quantitative analysis in the transportation field
  • Experience leading projects and interfacing with business teams
  • Ability to collaborate with cross functional teams
  • Excellent written and verbal communication skills

Be part of something big.



XPO is a leading provider of world-class solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work.


We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

XPO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with XPO policies which are in place to safeguard our employees and customers.


All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.


The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review XPO's candidate privacy statement here. 

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