Arrive Logistics is looking to solve business and technical problems by building models, conducting tests, analyzing data, and productionalizing ideas through a Data Science Intern.
Requirements
- 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
- Experience with an Agile development methodology is a plus
- Experience 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.
Responsibilities
- 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
- Conduct tests
- Analyze data
- Productionalize our ideas
Other
- Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering)
- 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
- Develop an understanding of the logistics industry as well as Arrive’s core business functions and processes
