Job description

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 Data Scientist 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 • 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 • 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 • 5+ years of hands-on experience developing and deploying optimization, forecasting, or predictive modeling solutions • Experience applying statistical modeling, machine learning, and/or optimization techniques to one or more applied domains, such as network/route optimization, demand forecasting, or price/revenue modeling • Experience with causal inference and measurement methods for analyzing the impact of models on business outcomes • Experience with reinforcement learning for optimization, decision-making, or 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 Data Scientist job: Pay, benefits and more: • C ompetitive 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 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 Annual Salary Range: $125,000 to $150,000 Actual compensation may vary due to factors such as experience and skill set. 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 statement here .

Requirements

Must-haves

What you’ll need to succeed as a Senior Data Scientist 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
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
Strong communication skills with a knack for translating complex AI concepts into clear business insights
5+ years of hands-on experience developing and deploying optimization, forecasting, or predictive modeling solutions
C ompetitive compensation package
Life and disability insurance
Earn up to 15 days of PTO over your first year
Education assistance
Opportunity to participate in a company incentive plan
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

Nice-to-haves

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
Experience applying statistical modeling, machine learning, and/or optimization techniques to one or more applied domains, such as network/route optimization, demand forecasting, or price/revenue modeling
Experience with causal inference and measurement methods for analyzing the impact of models on business outcomes
Experience with reinforcement learning for optimization, decision-making, or 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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonsqljava

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

401(K)

Pto