Senior Scientist, Data Science - Hybrid

XPO; Ann Arbor (MI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance on day one

Life and disability insurance

Paid time off: up to 15 days in first

9 company holidays

401(k) with company match

Education assistance

Job summary

XPO Logistics, Inc. is seeking a Senior Scientist, Data Science to drive AI-enabled analytics across Pricing, Sales and Finance.

You will lead model development and collaborate with data scientists and engineers to deploy solutions within in-house software, delivering actionable insights that impact revenue and customer experience. You will explore cutting-edge AI techniques, mentor teams, and translate complex analytics into business language for senior leadership, while advancing our

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.

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

Python

R language

SQL

SAS

Spark

Java

AI/ML

Machine Learning

Statistical Modeling

Education

Bachelor's degree

Master's degree

PhD

Tools

Python

R

Job description

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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

• 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

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

Pay, benefits and more:

• C ompetitive compensation package
• Full health insurance benefits are available on day one
• Life and disability insurance
• Earn up to 15 daysof 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

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 statement here .