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 delivery
• Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO
• Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company
• Help support data consumers to ensure they have reliable access to trusted data

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.

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

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 not an exhaustive list of all required responsibilities, duties and skills for this job classification.

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