Manager, Data Science

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Date: Feb 6, 2021

Location: Clayton, IN, US, 46118

Company: XPO Logistics

Logistics done differently.

At XPO Logistics, we invest hundreds of millions of dollars in technology every year so that we can continue to develop state-of-the-art solutions for our customers. As the Manager, Data Science, you will play a pivotal role in the research and development of data products, drive better and faster decision making across the company and support the creation of a global data science competency. You will work with business stakeholders across the company and support the creation of a global data science competency. You will also help grow a world-class data science team and mentor other data scientists, engineers, and analysts. This is an opportunity to drive tremendous business value at a rapidly growing, highly entrepreneurial company.

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), 401(k), life insurance, disability and more.

What you’ll do on a typical day:

• Identify, implement and drive adoption of analytics-based solutions to business problems
• Perform quantitative research on large data sets
• Mentor other data scientists, engineers and analysts
• Serve as subject matter expert on data science, providing scientific support across the company and for end customers
• Carry out descriptive, predictive, prescriptive analytics and communicate findings to leadership and customers

What you need to succeed at XPO:

At a minimum, you’ll need:

• Bachelor’s degree or equivalent related work or military experience
• 5 years of experience delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing or big data and database management
• Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib)
• Ability to recognize problem types and the appropriate models to apply
• Experience writing SQL fluently, recognizing and correcting inefficient or error-prone SQL and performing test-driven validation of SQL queries and their results
• Strong programing and algorithm development skills as applied to working with large data sets
• Attention to detail and motivation to minimize error
• Experience with data modeling and data architecture
• Ability to mentor, teach, and motivate junior team members

It’d be great if you also have:

• Master’s degree in Computer Science, MIS, Engineering, Business or a related field; or recent college graduate with hands-on, moderately complex internship projects of greater than 6 months
• Superior skills in data mining and data cleansing techniques
• Data science specialization from Coursera, Udacity, Data Camp, etc.

Be part of something big.

XPO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make XPO a great place to work.

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

XPO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with XPO policies which are in place to safeguard our employees and customers.

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 intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.