Senior Data Scientist - Hybrid

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 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 optimizationStrong understanding of data volume and quality requirements for building AI/ML and optimization solutionsExperience 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 field5+ years of hands-on experience developing and deploying optimization, forecasting, or predictive modeling solutionsExperience 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 modelingExperience with causal inference and measurement methods for analyzing the impact of models on business outcomesExperience with reinforcement learning for optimization, decision-making, or 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 methodsAbout the Senior Data Scientist job:Pay, benefits and more:Competitive compensation packageFull health insurance benefits 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 problems across domains such as network/route optimization, demand forecasting, and pricing/revenue modelingDesign, build, and evaluate models under the guidance of Lead and Principal scientists, and help implement them into in-house software solutionsExplore and apply 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 contributor in applying AI techniques to logistics and transportation challengesPerform analytics ranging from predictive to prescriptive, 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: $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 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.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.Nearest Major Market: BostonJob Segment: Testing, Computer Science, Data Analyst, Database, Developer, Technology, DataApply now “

• 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