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Tester (Remote)
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Full Stack Engineer - 4 (Java, JavaScript, TypeScript, AWS)
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XPO, Inc.

Lead Scientist, Data Science (Pricing Optimization) - Hybrid

Boston, MA, United States

Annual Salary Range: $129, 446 to $161,807.

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Job details

Pay: Annual Salary Range: $129, 446 to $161,807.
Posting language: English
Posted: Sep 16, 2026

Original job description

Lead Scientist, Data Science (Pricing Optimization) - Hybrid

Requisition Id: 389106

Business Unit: Corporate

Location:

Boston, MA, US, 02110

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.

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

Minimum 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

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 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
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

Annual Salary Range: $129, 446 to $161,807. Actual compensation may vary due to factors such as experience and skill set.

In addition to base salary, employees may be eligible for a sign-on bonus, annual and long-term incentive awards, and an equity buyout award. This is an incentive-based position, which may include bonuses, incentive or commission plans.

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 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 statementhere (https://jobs.xpo.com/content/CANDIDATE-PRIVACY-NOTICE/?locale=en_US) .

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