Job Information

Ryder System COOP - Lead Data Scientist in Miami, Florida

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You are the driving force behind our company.

Start your career with Ryder today!

COOP by Ryder, one of the fastest growing startups in logistics and backed by a Fortune 500 company, is the leading platform for peer-to-peer truck sharing. In just three years, our service has launched successfully in 9 major markets, and we are planning further market expansions over the next few years.

At COOP, we encourage curiosity and collaboration – all ideas are welcome. You will always find our tight-knit team creating innovative solutions, tackling complex challenges and delivering exceptional customer experiences. If you are looking to join a fun, fast growing, driven team with a great benefits package and with different opportunities to learn and develop, we’d love to meet you!


The Lead Data Scientist 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 Coop's toughest problems. A Lead Data Scientist will drive Coop towards the cutting edge of what comes next. The Lead Data Scientist is expected to be an expert on 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 Coop's Azure Data Lake, driving the analytics initiatives as an expert in this field. The Lead Data Scientist will showcase 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 Lead 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 Lead Data Scientist helps facilitate the movement of the algorithms into a core solution to support the business.


  • Build end-to-end data pipelines and operationalize models in production working closely with data engineers to deploy solutions at scale.

  • Manage the design, development, validation and delivery of algorithms, statistical models, and reporting tools.

  • ​Prepare and present documentation of models and analytical solutions.

  • Drive informed decision-making and present findings to both technical and non-technical audiences, stakeholders, and senior leadership

  • Coach, mentor and learn from the upcoming generation of COOP product experts demonstrating thought leadership across disciplines and domains to facilitate consensus, buy-in and adoption.

  • Gain knowledge of Coop’s business, understanding the complexity of the supply chain world and the role that data has within this ecosystem.

  • 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.


  • Bachelor's degree in Computer Science, Data Analytics, Operational Research, Mathematics or related.

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

  • At least five (5) years or more of applied experience in advanced analytics, statistical analysis, optimization and machine learning modeling development working in a cloud environment.

  • Experience using tools such as ETL (SSIS or SSRS) preferred.

  • Advanced knowledge of relational database concepts, data hygiene, and architecture with ability to perform complex queries in a SQL Server environment preferred.

DOT Regulated: None

Job Category: Data Science & Analytics

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.

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