Senior Scientist, Data Science

What youll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications Bachelors 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 Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline A Masters or PhD in Computer Science, AI, Data Science, or a related quantitative field years of handson 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, decisionmaking, and consumer behavior modeling Proven track record of delivering AIenabled 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 Handson experience building and deploying AI models, including supervised, unsupervised, and deep learning methods About the Senior Scientist, Data Science job Pay, benefits and more Competitive compensation package Full health insurance benefits are 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 youll 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 inhouse software solutions You will be a thought leader for the practice of Data Science and Analytics across the organization Explore and research cuttingedge Artificial Intelligence techniques and statistical methods to identify opportunities to drive process improvements through analytics and automation Conduct and present adhoc analyses to senior leaders within the business and technology organizations Communicate with technical and businessoriented 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 realworld impact at XPO Annual Salary Range $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentivebased 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 youre looking for a growth opportunity, join us at XPO. #J-18808-Ljbffr