Job Description
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. 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.
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Job Tags
Full time,