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Ryder System Data Scientist II in FRANKLIN, Tennessee

Position Description

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 toward the cutting edge of what comes next. The Data Scientist is expected to be an expert of algorithms and knows the balance of 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 as an expert in this field. The Data Scientist II will use their skills as an expert of machine learning and artificial intelligence algorithms, by utilizing the perfect blend of data with the right use-cases to turn Ryder's data into concrete value-add for the business. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using all their skills in order to exploit data to drive the business forward. The Scientist pushes 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.

Requirements

  • Bachelor's degree Computer Science, Data Analytics, Operational Research, Mathematics or equivalent

  • Master's degree Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent preferred

  • Two (2) years or more experience in Applied Project(s)

  • Experience in demonstrating advanced analytics in an educational/project

  • Two (2) years or more experience in statistical, optimization and machine learning modeling development

  • Experience working in a cloud environment

  • Four (4) years or more experience in working in an individual contributor role as a key member of the team that others rely on. preferred

  • Experience in the development of predictive analytic solutions using predictive analytics tools like: Alteryx,R/Python required

  • Exposure 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

Responsibilities

  • 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

  • Experience working within a collaborative team, coaching more junior product team members to achieve success

  • Challenge the status quo guiding entrepreneurial innovation in both analytical products and the curation of new data sources elevating analytics beyond data reporting and dashboarding to the delivery actionable insights

  • Knowledge of with Ryder’s Business, understanding the complexity of the supply chain world and the role that data has within this ecosystem

  • Perform other duties as assigned

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.

Requisition ID 2019-76348

Category Logistics/Distribution/Transportation Management

Employment Type Regular - Full Time (4)

Travel Requirements 10-20%

Position Code 7856

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