Senior Data Scientist - Hybrid

• 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.

• 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, * 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

• 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

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.