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Senior Scientist, Data Science

Requisition Id:  341004
Business Unit:  Brokerage
Location: 

Chicago, IL, US, 60601

 

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 Senior Scientist, Data Science, you’ll manage and lead the data science, engineering and analytics teams in their daily operations. You’ll find yourself immersed in a forward-thinking environment fueled by achievement and a tenacious team spirit. We’ll give you the support you need to excel at work and the resources to build a career that will exceed your expectations.

 

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:

  • Collaborate with leadership to understand needs and align those with potential data and analytics projects
  • Gather and integrate data from various sources for use in advanced analytics efforts
  • Identify, analyze and interpret trends, patterns and relationships in complex data sets, using advanced analytics tools and models
  • Prepare findings in a professional manner, presenting insightful results and providing actionable recommendations to leadership
  • Promote a data-driven culture through ongoing partnership and dialog with the business stakeholders

What you need to succeed at XPO:

At a minimum, you’ll have:

  • Bachelor's degree or equivalent related work or military experience
  • 2 years of experience in quantitative analytics
  • Hands-on experience with the core concepts of pricing, revenue management and supply chain management
  • Strong knowledge of statistics; experience using statistical modeling (logistic regression, SVMs, etc.) to solve business problems
  • Demonstrated experience with database design, data models and integration/extraction technologies
  • Great interpersonal and communication skills backed by a can-do attitude and entrepreneurial mindset
  • Excellent analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy
  • Great track record of creating and monetizing analytical insights (from R&D to solution/product design and delivery)

It’d be great if you also have:

  • Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field
  • 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.
  • Advanced degree in Data Science or another analytics-related field
  • Hands-on experience with Python, R, CPLEX, SQL and VBA as well as one of Power BI, Tableau or Oracle BI
  • 5 years of experience in quantitative analytics
  • Successful stakeholder engagement with quantifiable financial impact on operational performance
  • Experience with text analytics (semantic analysis)
  • Transportation/Logistics, Travel, Hospitality industry experience

Be part of something big.

#LI-Hybrid

 

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: Chicago

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