Scientist, Data Science - Hybrid

What you’ll need to succeed as Scientist, Data Science at XPO

Minimum qualifications:

• Bachelor’s degree or equivalent related work or military experience 
• 1 year experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization
• Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc.
• Familiarity with machine learning and statistical methods
• Strong communication skills with a knack for explaining complex topics simply

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, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline
• 3 years of experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization
• Demonstrated examples of generating business insights that improved operations or financials
• Solid foundation of statistics (hypothesis testing, outlier detection, statistical inference & analysis)
• Applied supervised and/or unsupervised learning algorithms

 

About the Scientist, Data Science job

Pay, benefits and more:

• 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 

 

What you’ll do on a typical day:

• Analyze and interpret large data sets to identify opportunities that will improve XPO’s operational and financial performance
• Partner with technology and business stakeholders to create and enhance processes, software applications, metrics and decision-making
• Serve as a subject matter expert in one or more facets of the operations
• Leverage data analytics and modelling techniques to improve overall operational performance
• Perform various analytics that range in complexity from descriptive, diagnostic, predictive, prescriptive and cognitive depending on the project
• Apply Machine Learning, AI, statistical and/or optimization methods on an as needed basis
• Combine your technical skills (computer science, mathematics) with business acumen to solve XPO’s most critical problems #LI-Hybrid

 

 

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. 

 

We are proud to be an Equal Opportunity employer.