Scientist, Data Science - Hybrid

　　Requisition Id: 368207

　　Business Unit: Corporate

　　Location:

　　Boston, MA, US, 02111

　　Solutions driven success.

　　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.

　　As a Data Scientist, you will leverage data analytics and modelling techniques to improve overall operational performance and company financials. You will collaborate with stakeholders to define and measure KPIs in order to create actionable insights in a dynamically changing environment. You will combine your technical skills (computer science, mathematics) with business acumen to solve XPO’s most critical problems. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. Become a part of our dynamic team and we'll help you develop to a level that will exceed your expectations.

　　Pay, benefits and more.

　　We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the 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

　　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

　　What you need to succeed at XPO:

　　At a minimum, you’ll need:

　　Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline, 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

　　It’d be great if you also have:

　　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

　　Be part of something big.

　　#Li-Hybrid

　　We are proud to be an Equal Opportunity/Affirmative Action 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. (https://jobs.xpo.com/content/CANDIDATE-PRIVACY-NOTICE/?locale=en_US)