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:

• 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

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:

• 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
• Resolve 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
• 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 d