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Senior Scientist, Data Science

Requisition Id:  349071
Business Unit:  LTL

Ann Arbor, MI, US, 48105


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 a Senior Data Scientist, you will help optimize XPO’s Linehaul network with a spend in excess of $1B. You will be responsible for developing analytical experiments and regularly evaluating alternate models to support strategic initiatives and ongoing business processes. You will work with Operational Research (OR) scientists, engineers and data producers/consumers to understand requirements, develop technical solutions and ensure the reliability and performance of the data solutions. Join XPO Logistics, a company named among the most admired in the world by Fortune and one of America’s best employers by Forbes. As part of our growing, dynamic team, you’ll have the support to excel at work and the resources to build a career you can be proud of.

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 more.  


What you’ll do on a typical day:

  • Conceive and develop end-to-end solutions focused on data science and engineering, statistical concepts, data modeling, software development, cloud computing and visualizations
  • Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
  • Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout
  • Collaborate with OR and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery
  • Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO
  • Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company

What you need to succeed at XPO:

At a minimum, you’ll need:

  • Bachelor's degree or equivalent related work or military experience
  • 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
  • Hands-on experience with the core concepts of supply chain management and transportation field
  • Experience with statistical modeling, data analytics and visualization using Jaya and Python
  • Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques
  • Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data
  • Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results.

It’d be great if you also have:

  • Master's degree in Computer Science, MIS, Engineering, Business or a related field; or recent college graduates with hands-on, moderately complex internship projects of greater than 6 months
  • Data science specialization from Coursera, Udacity, Data Camp, etc.
  • Knowledge of statistical modeling techniques, including linear/logistic regression (advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc.
  • Hands-on experience with CPLEX
  • 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management
  • Ability to quickly learn and achieve proficiency in new software applications.

Be part of something big.



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.


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 not an exhaustive list of all required responsibilities, duties and skills for this job classification.  

Review XPO's candidate privacy statement here. 

Nearest Major Market: Ann Arbor
Nearest Secondary Market: Detroit

Job Segment: Cloud, Logistics, Testing, Supply Chain Manager, Data Modeler, Technology, Operations, Data