Lead Scientist, Data Science - Remote

XPO Logistics • Charlotte, NC

146d • Remote

About The Position

As a Lead Scientist in Data Science at XPO, you will 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. You will work with a team of data scientists and engineers to design, test and implement models into in-house software solutions. This role requires you to be a thought leader for the practice of Data Science and Analytics across the organization, exploring and researching cutting-edge Artificial Intelligence techniques and statistical methods to identify opportunities for process improvements through analytics and automation. You will conduct and present ad-hoc analyses to senior leaders within the business and technology organizations, communicating effectively with both technical and business-oriented audiences. Additionally, you will serve as a subject matter expert in applying AI techniques to logistics and transportation challenges, leveraging advanced data science methods to enhance business performance.

Requirements

• Bachelor's degree or equivalent related work or military experience.
• 4 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization.
• Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects.
• Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning.
• Strong communication skills with a knack for translating complex AI concepts into clear business insights.

Nice To Haves

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline.
• A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field.
• 5+ years' 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.
• Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience.
• Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation.
• Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods.

Responsibilities

• Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance.
• Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions.
• Serve as 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.
• Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations.
• Communicate with technical and business-oriented audiences.
• Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges.
• Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance.
• Perform analytics ranging from predictive to prescriptive and cognitive.

Benefits

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Truck Transportation
• Education Level: Bachelor's degree