Senior Scientist, Data Science (AI, Operations Research & Optimization)- Hybrid

Senior Scientist, Data Science (AI, Operations Research & Optimization)- HybridRequisition Id: 388746 Business Unit: Corporate Location: Boston, MA, US, 02110What you'll need to succeed as a Senior Scientist, Data Science at XPOMinimum qualifications:Bachelor's degree or equivalent related work or military experience2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimizationExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative disciplineA Master's or PhD in Computer Science, AI, Data Science, or a related quantitative fieldYears of hands-on experience in developing and deploying optimization solutions5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniquesExperience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenueExperience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modelingProven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experienceStrong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validationHands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methodsPay, benefits and more:Competitive compensation packageFull health insurance benefits are available on day oneLife and disability insuranceEarn up to 15 days of PTO over your first year9 paid company holidays401(k) option with company matchEducation assistanceOpportunity to participate in a company incentive planWhat 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 companyWork with a team of data scientists and engineers to design, test and implement models into in-house software solutionsYou will be a thought leader for the practice of Data Science and Analytics across the organizationExplore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automationConduct and present ad-hoc analyses to senior leaders within the business and technology organizationsCommunicate with technical and business-oriented audiencesServe as a subject matter expert in applying AI techniques to logistics and transportation challengesLeverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performancePerform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needsCombine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPOAnnual Salary Range: $106,383 to $132,978 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 XPOXPO 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.