Pricing Optimization Lead Scientist (Hybrid)

XPO; Boston (MA); Hybrid; USD 129,000 - 162,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits from day one

Life and disability insurance

Paid time off

Company holidays

401(k) with company match

Education assistance

Incentive plan

Job summary

XPO is seeking a Lead Scientist, Data Science (Pricing Optimization) in Boston with a hybrid work arrangement. You will lead AI/ML modeling for pricing, collaborate with data scientists and engineers, and translate complex analyses into clear business insights to optimize revenue.

The role requires a bachelor’s degree with 4+ years in data science or a related field, strong programming skills, and experience applying AI techniques to pricing and forecasting.

Qualifications

• 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.

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.

Skills

Data science experience

Programming languages

AI/ML familiarity

Communication skills

Education

Bachelor’s degree related field

Master’s degree in Computer Science/AI/Data Science

PhD in Computer Science/AI/Data Science

Job description

XPO is seeking a Lead Scientist, Data Science (Pricing Optimization) in Boston with a hybrid work arrangement. You will lead AI/ML modeling for pricing, collaborate with data scientists and engineers, and translate complex analyses into clear business insights to optimize revenue.

The role requires a bachelor’s degree with 4+ years in data science or a related field, strong programming skills, and experience applying AI techniques to pricing and forecasting.