XPO · 1 day ago
Lead Scientist, Data Science (AI Driven Pricing Optimization) - Remote
United States
Full-time
Remote
Senior Level, Lead/Staff
$118K/yr - $148K/yr
4+ years expXPO is a top ten global provider of transportation services, and they are seeking a Lead Scientist in Data Science to optimize revenue through AI-driven pricing strategies. The role involves leveraging machine learning and statistical methods to address challenges in pricing, sales, and finance while collaborating with a team of data scientists and engineers.
LogisticsShipping Broker
Responsibilities
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
Qualification
Required
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
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
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
Company
XPO
XPO is a provider of freight transportation and logistics services.
10001+ employees
H1B Sponsorship
XPO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (15)
2021 (6)
2020 (24)
Funding
Current Stage
Public CompanyTotal Funding
$741M2017-07-17Post Ipo Equity· $666M
2012-06-14IPO
2011-09-01Post Ipo Equity· $75M
Leadership Team
Mario Harik
Chief Executive Officer
Jay Silberkleit
Chief Information Officer
Recent News
2026-01-08
2026-01-07
Investor's Business Daily
2025-12-17
Company data provided by crunchbase