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Lead Scientist, Data Science; AI Driven Pricing Optimization - Remote

Remote / Online - Candidates ideally in
North Richland Hills, Tarrant County, Texas, 76180, USA
Listing for: XPO Logistics, Inc.
Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 129446 - 161807 USD Yearly USD 129446.00 161807.00 YEAR
Job Description & How to Apply Below
Position: Lead Scientist, Data Science (AI Driven Pricing Optimization) - Remote

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Lead Scientist, Data Science (AI Driven Pricing Optimization) - Remote

Requisition

Business Unit:
Corporate

Location:

North Richland Hills, TX, US, 76180

What you’ll need to succeed as Lead Scientist, Data Science at XPO

  • 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

Preferred qualifications:

  • 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
  • years of hands-on experience in developing and deploying optimization solutions
  • 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

About the Lead 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 daysof 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
  • 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, aligning with AI maturity levels based on project needs
  • Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO

Employees are paid within a salary range based on their experience, skill set, and market.

New York annual salary range: $129,446 to $161,807

California annual salary range: $129,446 to $161,807

Washington State annual salary range: $123,818 to $154,772

Maryland annual salary range: $123,818 to $154,772

Minnesota annual salary range: $112,562 to $140,702

Illinois annual salary range: $118,190 to $147,737

New Jersey annual salary range: $129,446 to $161,807

Vermont annual salary range: $112,562 to $140,702

Massachusetts annual salary range: $123,818 to $154,772

Columbus, Ohio annual salary range: $112,562 to $140,702

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