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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.
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What you’ll need to succeed as a Senior Scientist, Data Science at XPO
Minimum qualifications:
- 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
- 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:
- 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
- years of hands-on 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, decision-making, and 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
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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
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What 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 company
- Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
- You will be a thought leader for the practice of Data Science and Analytics across the organization
- 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
- Communicate with technical and business-oriented 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 real-world impact at XPO
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Annual 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.
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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 you’re looking for a growth opportunity, join us at XPO.Â
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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.
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All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.Â
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The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.Â
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Review XPO's candidate privacy statement here.
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