Senior Data Scientist at XPO Logistics Supply Chain Inc in Bloomington, California

Job Description:

Logistics at full potential.

At GXO, we're constantly looking for talented individuals at all levels, who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work, and the resources to build a career you can be proud of.

GXO Logistics has completed the spin-off from XPO Logistics. As we update our systems, there are places throughout the application where you see references to XPO Logistics/XPO. Please substitute GXO for XPO throughout the application as you answer these questions.

Logistics at full potential.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. As the Senior Data Scientist, you will 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 more.

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

At a minimum, you'll need:

• Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience


• 2 years of experience in quantitative analytics


• Experience with Microsoft Office, Airflow, Power BI, Tableau and Oracle BI, as well as Python, R, CPLEX


• Strong experience with SQL, VBA, data mining, data models and integration/extraction technologies


• Strong knowledge of statistics; experience using statistical modeling (logistic regression, SVMs, etc.) to solve business problems


• 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.

• Master's degree in Data Science or a related field


• 5 years of experience in quantitative analytics


• Experience with text analytics (semantic analysis)


• Excellent analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy

GXO 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 GXO 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.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO 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 GXO's candidate privacy statement here.