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Job Location: Pine Level, AL
Solutions driven success.
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO Logistics, 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.
As the Manager, Data Science, you will play a pivotal role in the research and development of technology 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 to ingest data analytics into every. 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.
#LI-Remote
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.
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.
Review XPO’s candidate privacy statement here.
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