Develop an understanding of the logistics industry as well as Arrive’s core business functions and processes
Work closely with data scientists to develop models, analytic solutions, and statistical analysis
Work with data scientists and engineering to perform model testing and then put models and solutions into production
Collaborate with data scientists to document models, monitor performance, and perform ongoing support for existing models
Prepare, clean, and wrangle large data sets
Requirements & Skills:
Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering)
Solid knowledge of statistics, mathematics, and computer science
Experience with Python, R, or other statistical programming language
Experience evaluating, fitting, and interpreting results of common data science models
Focus on impact, agility, learning, openness, togetherness, independence, humility, and responsibility
Strong written & oral communication skills and an ability to present effectively to stakeholders of all levels
Interested in staying abreast of emerging data science research and trends and continuously upskilling your capabilities as new methods and techniques are developed
Experience with an Agile development methodology is a plus
Experience in formulating and solving optimization problems is a plus
Experience working in cloud environments is a plus
Experience in the Logistics or Transportation Industry is a major plus.
