Data Scientist

Logistics done differently.

At XPO Logistics, we’re constantly looking for ways to improve, enhance and adapt in an ever-changing marketplace. The selected candidate will possess a combination of data science skills including data wrangling, advanced programming and statistical analysis (machine learning and data mining). Further, this individual will be able to take complex data, analyze it, draw meaningful conclusions and communicate findings in a manner that can be easily understood by a wide variety of audiences

What you’ll do on a typical day:

• Strong understanding of Warehouse concepts, Labor planning, Demand forecasting and Industrial Engineering

• Demonstrated ability to provide guidance and development to a group of analyst and engineers
• Strong analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy
• Demonstrated experience with database design, data models and integration/extraction technologies and techniques
• Experience with visualization tools (Power BI, Tableau, and Oracle’s Business Intelligence preferred)
• Expertise in programming for data wrangling and statistics (R, Python)

• Strong knowledge of statistics and experience using statistical modeling (logistic regression, SVMs, etc.) to solve business specific problems
• Experience with text analytics (e.g. semantic analysis) is a plus

It’d be great if you also have: Primary Skills (Must Have):

• Programming: Python, R, CPLEX, SQL, VBA

• Visualization: Power BI, Tableau, Oracles Business
• Statistical modeling techniques: Linear/logistic regression (including advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc.
• Algorithm Development: Machine learning, Deep learning, and advanced Algorithmic solution development

• Be part of something big.

XPO is a leading provider of cutting-edge supply chain 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.

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.