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Lead Data Scientist

Company: XPO Logistics
Location: High Point
Posted on: November 19, 2020

Job Description:



Logistics done differently.XPO Logistics, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. As the Lead Data Scientist, you will turn data into information, information into insight and insight into business decisions. You will conduct full life-cycle analysis to include requirements, activities and design. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of. 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 more. What you'll do on a typical day:

  • Lead team data scientists and analysts to implement models and measure success throughout the organization
  • Research cutting-edge machine learning and statistical models and identify opportunities to implement into daily operations
  • Communicate with technical and business-oriented audiences
  • Interpret data and analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze and interpret trends or patterns in complex data sets
  • Filter and clean data by reviewing computer reports, printouts and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Develop statistical approaches to solve complex problems What you need to succeed at XPO:At a minimum, you'll need:
    • Bachelor's degree or equivalent related work or military experience
    • 4 years of data science experience It'd be great if you also have:
      BS in Mathematics, Economics, Computer Science, Information Management or Statistics
      • 4 years of experience in Supply Chain, Logistics, Distribution, or manufacturing environment Knowledge of statistics and experience using statistical modeling to solve business problems
      • Strong analytical skills with the ability to collect, organize, and disseminate significant amount of information with attention to detail and accuracy
      • Knowledge of time series analysis and statistical assumptions as well as familiarity with forecast reconciliationBe part of something big. XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make XPO a great place to work. 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. XPO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with XPO policies which are in place to safeguard our employees and customers. 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 intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Keywords: XPO Logistics, High Point , Lead Data Scientist, Other , High Point, North Carolina

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