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 will 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 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 data science or quantitative analytics
Experience with Microsoft Office, Power BI, Tableau and Oracle BI, as well as Python, R, CPLEX, SQL and VBA
Demonstrated experience with database design, 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.
It'd be great if you also have:
Master's degree in Data Science or a related field
5 years of experience in data science or 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
Be part of something big.
#LI-Remote
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.
