Senior Scientist, Data Science - Hybrid

What you’ll need to succeed as Senior Scientist, Data Science at XPO

Minimum qualifications :

• 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

Preferred qualifications :

About the Senior Scientist, Data Science job

Pay, benefits and more :

What you’ll do on a typical day :

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.