Senior Scientist, Data Science - Remote Job at XPO in Boston

What you'll need to succeed as Senior Scientist, Data Science at XPO Bachelor's degree or equivalent related work or military experience ~2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management ~ Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) ~ Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques ~ Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods ~ Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data ~ Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results ~ Proficiency in Microsoft Office and Windows applications ~ Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Master's degree in Computer Science, MIS, Engineering, Business or a related field ~ Data science specialization from Coursera, Udacity, Data Camp, etc. ~5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI ~5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management ~ Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Full health insurance benefits available on day one ~ Life and disability insurance ~ 9 paid company holidays ~Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Help support data consumers to ensure they have reliable access to trusted data This is an incentive-based position, which may include bonuses, incentive or commission plans. XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. If you're looking for a growth opportunity, join us at XPO. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. Remote working/work at home options are available for this role.