Data Scientist I - Remote

at  Ryder System

SUMMARY

The Data Scientist’s 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.

SKILLS AND ABILITIES

Experience to the development of predictive analytic solutions using data and predictive analytics platforms and languages like:

• R/Python

QUALIFICATIONS

• Bachelor’s degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent
• Master’s degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent
• 0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required
• One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred

DATA/RANGES; APPLICANT’S SKILLS; PRIOR RELEVANT EXPERIENCE; CERTAIN DEGREES OR

certifications, etc. The salary for this position ranges from $60,000.00 to $80,000.

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.
• Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs.
• Extract and perform data transformations from the data ecosystem and custom sources for data modeling/analytics.
• 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.