Senior Data Scientist — AI, ML & Optimization in Logistics

XPO; Boston (MA); On-site; USD 125,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

401(k) with company match

PTO 15 days

Job summary

XPO is seeking a Senior Data Scientist in the Boston area to advance AI-driven analytics, optimization, and predictive modeling across logistics and transportation workflows. You will work with senior scientists to design and deploy models, translating complex AI concepts into actionable business insights.

The role emphasizes hands-on model development, data quality management, and collaboration with cross-functional teams to drive cost savings and service improvements.

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.
• Strong understanding of data volume and quality requirements for building AI/ML and optimization solutions.
• 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.

Responsibilities

• Leverage machine learning, AI, statistical, and/or optimization methods to solve problems across domains such as network/route optimization, demand forecasting, and pricing/revenue modeling.
• Design, build, and evaluate models under the guidance of Lead and Principal scientists, and help implement them into in-house software solutions.
• Explore and apply 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 contributor in applying AI techniques to logistics and transportation challenges.
• Perform analytics ranging from predictive to prescriptive, 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

Python

R

SQL

AI/ML

Optimization

Education

Bachelor's degree

Master's degree

PhD

Tools

SAS

Spark

Java

Job description

XPO is seeking a Senior Data Scientist in the Boston area to advance AI-driven analytics, optimization, and predictive modeling across logistics and transportation workflows. You will work with senior scientists to design and deploy models, translating complex AI concepts into actionable business insights.

The role emphasizes hands-on model development, data quality management, and collaboration with cross-functional teams to drive cost savings and service improvements.