Job Description

What you’ll need to succeed as a Principal Scientist, Data Science at XPO: Minimum Qualifications: Bachelor's degree or equivalent related work or military experience 5 years of hands-on experience in developing and deploying optimization solutions Experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. Strong experience with SQL, Python and Java Experience using statistical modeling to solve business problems A deep understanding of machine learning techniques and experience applying them to solve business problems. Track record in leading cross-functional initiatives that span across the organization. Ability to translate complex data sets and research into simple business recommendations. Preferred qualifications: Master’s degree or PhD in Data Science, Statistics, Applied Mathematics, Engineering, Computer Science or related field 7+ years of hands-on experience in developing and deploying optimization solutions Experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling Ability to effectively operate both independently and as part of a team Significant peer-reviewed scientific contributions in premier journals and conferences Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts About the Principal Scientist, Data Science job: Pay, Benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you’ll do on a typical day: Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions You will be a thought leader for the practice of Data Science and Analytics across the organization Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations Communicate with technical and business-oriented audiences About XPO: XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, 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. 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 . #J-18808-Ljbffr XPO Logistics, Inc.

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