XPO is looking to solve various problems in Pricing, Sales, and Finance to optimize revenue for the company by leveraging Machine Learning, AI, statistical and/or optimization methods
Requirements
- 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
- 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
- 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
- Experience in developing and deploying optimization solutions
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
- 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
- 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
Other
- Bachelor’s degree or equivalent related work or military experience
- Strong communication skills with a knack for translating complex AI concepts into clear business insights
- 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
- Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
- Ability to communicate with technical and business-oriented audiences
