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 Data Scientist, you will evaluate, run discovery, analyze, and improve XPO Logistics pricing products. You will collaborate with a multi-disciplinary team of engineers and operations team members on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with a focus on pricing related products that can include, but is not limited to machine learning algorithms, A/B testing functionalities, etc. You will be comfortable discussing product design and research methodologies with the technology teams, working closely with end users, and presenting findings and proposals to senior leadership. If you're ready to build a career you can be proud of-we have the opportunity for you to grow with XPO. 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: Help shape XPO's pricing strategies by processing, analyzing and interpreting huge data sets. Use analytical rigor and statistical methods, mine through data to identify opportunities to improve XPO's financial performance. Interview stakeholders to understand business needs and to gather requirements. Work closely with product managers to build pricing related products including machine learning algorithms. Present findings and recommendations to senior leadership. What you need to succeed at XPO: At a minimum, you'll need: Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent related work or military experience 1-year experience in data science with a focus on pricing analytics, statistical modeling, machine learning, forecasting and optimization. Advanced experience in Python, and advanced experience in data management systems. It'd be great if you also have: PhD in Statistics, Computer Science, Engineering, or Mathematics. 4 years of experience in data science with a focus on pricing analytics, statistical modeling, machine learning, forecasting and optimization. 2 years of customer facing experience 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: Chicago Job Segment: Computer Science, Engineer, Data Management, Database, Scientific, Technology, Engineering, Data Apply now "