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Summary
The Data Scientist II role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling.
This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for.
On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space, streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business.
Essential Functions
Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence.
Wrangle data transformations from the data sandbox and from custom sources for Data modeling.
Enhance data canonical maturity and integration for Ryder's products by interacting with operations to standardize the core value add functionality enabling a multiplier effect.
Additional Responsibilities
Performs other duties as assigned.
Skills And Abilities
Experience in the development of predictive analytic solutions using predictive analytics tools like:
R/Python
Alteryx
Exposure to using tools like:
ETL tools (SSIS or SSRS)
Data manipulation tools (SQL)
Object-oriented development stacks (.net) (preferred)
Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms.
Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies.
Qualifications
Bachelor's degree required in Computer Science, Data Analytics, Operational Research, Mathematics or equivalent.
Master's degree preferred in Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent.
Two (2) years or more of Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment required.
Two (2) years or more of experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment preferred.
Job Category:
Data Science & Analytics
Compensation Information
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate's relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc.
Pay Type:
Salaried
Minimum Pay Range:
95000
Maximum Pay Range:
110000
The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type.
Benefits Information
For all Full-time positions only:
Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Security Notice For Applicants
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at ******** or ******** .
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