Principal Scientist, Data Science - Hybrid

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 Strong leadership and communication skills
• 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

#LI-Hybrid

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.