logistics done differently at xpo logistics we invest over 450 million in technology every year so that we can continue to develop stateoftheart solutions for our customers are you looking for an opportunity to take your career to the next level with a rapidly expanding global company as the principal data scientist you will be responsible for leading and driving the overall design and development of endtoend data science solutions to support strategic business and it initiatives you will also coordinate the execution of work across team members guide architectural troubleshooting and communicate progress and results become a part of our growing dynamic team and well 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 401k life insurance disability and the opportunity to participate in a company incentive plan what youll do on a typical day lead design and architect solutions for data science and data engineering projects confirm delivery requirements and plan track and communicate resources and delivery plan assist with development work as needed understand and improve data science standard patterns templates and artifacts for platform architecture data science development approaches data models and new technology adoption and rollout define patterns and share technical approaches and best practices among other developers simplify and communicate completed work to broader audiences across the company mentor other team members on technical skills best practices problemsolving approaches and standard patterns troubleshoot technical issues in existing processes and current development work solicit assistance from other roles and groups and drive resolution to ensure the integrity of platform quality and project timelines allocate team resources across projects to balance the workload according to available capacity planning dependencies and prevailing priorities collaborate with it and business teams to identify and document use cases performance and capability requirements and criteria for successful solution delivery support data consumers to ensure they have reliable access to trusted data and provide occasional 247 oncall production support what you need to succeed at xpo at a minimum youll need masters degree in computer science mis engineering business or a related field 10 years of experience leading and delivering business solutions that rely on data science business intelligence bi data warehousing or similar domains successful delivery of 10 or more projects in data science data engineering or data integration as a tech leadprincipal strong understanding of the core principles of data science and machine learning experience developing solutions using related tools and libraries ability to analyze summarize and characterize large or small data sets with varying degrees of fidelity or quality able to identify and explain any insights or patterns within them solid experience applying one or more of the following analytical methods regression preferably mixed models data classification and reduction cluster factor principle components decision trees bayesian inference or other advanced machine learning techniques strong understanding of and experience