Senior Scientist, Data Science - Hybrid (Boston, MA, US, 02110)
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Before you apply
SalaryNo pay range posted
LocationBoston, MA, US, 02110
Work modehybrid
Typefull-time
SenioritySenior
Experience2+ yrs
Company size10,000+ people
First seenOct 30, 2026 · 4d ago
Verified live9h ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s degree or equivalent related work or military experience
2 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
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
Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews
A minimum of one onsite, in person interview will be required as part of the application process
Skills
Python
R
SQL
SAS
Spark
Java
AI
ML
Benefits
Health insurance
Life insurance
Disability insurance
Paid time off
Paid holidays
401(k)
Education assistance
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 Senior Scientist, Data Science at XPO
Minimum qualifications:
•
Bachelor’s degree or equivalent related work or military experience
•
2 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 have
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 Senior Scientist, Data Science job
Benefits
Pay, benefits and more:
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Competitive compensation package
•
Full health insurance benefits are 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
Responsibilities
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
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Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
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Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
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Communicate with technical and business-oriented audiences
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Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
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Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
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Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
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Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO
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.
Legal
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 statement here.