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C.H. Robinson Data Scientist in Eden Prairie, Minnesota

We're on a mission to disrupt the logistics industry and take our technology to new heights with data science. Our established data science team is looking to add team members that can combine expert statistical modeling knowledge with machine learning plus other AI to drive business impact.

From designing systems that monitor data streams to send signals and alerts to business users, to adding machine learning pipelines that enhance existing algorithms embedded into our industry leading platform products, everything you work on will have an impact. In this role, you will help to improve the world's supply chains, and develop a deep expertise in cutting edge statistical and mathematical techniques, while partnering with our team of technologists to bring it to life on a cutting edge technology stack.

Our main priority continues to be the health and safety of our employees. Due to the COVID-19 pandemic, this position will be remote until further notice. We will continue monitoring the circumstances and when we feel comfortable, this position will return to the office in Eden Prairie, MN where you will have an opportunity to collaborate face-to-face with a talented and diverse group of peers.


  • Evaluate and understand current & nascent modelling methods in the Data Science space.

  • Design and engineer high performance computing platforms and algorithms for a wide variety of data.

  • Develop new features for existing algorithms through statistical and machine learning methodologies.

  • Validate and implement modelling improvements to increase accuracy of data science Algorithms

  • Embrace an R&D mindset through Rapid Prototyping & Iterative Experimentation

  • Work closely with IT delivery teams to productionize successful models in an on demand environment

Required Qualifications:

  • 2+ years of experience in advanced analytics, machine learning and/or data science or one year of professional experience with an advanced degree (Masters or PhD)

  • Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative discipline

  • Experience with Statistical Algorithms, especially Boosting, Classification and Regression

  • Experience in programming: R and Python

  • Familiarity with data fundamentals including SQL

Preferred Qualifications:

  • Experience with Spark/Hive Ecosystems and other noSQL data environments

  • Experience working with Data Mining & Network Models

  • Proficiency with Linux Operating Systems & Containerization

  • Experience with deep learning including Tensorflow & PyTorch

  • Experience building and working with APIs

  • Proven ability to work with a high degree of autonomy and out-of-the-box thinking

  • Demonstrated having conducted deep research into a targeted subject area

  • Strong sense of urgency and an ability to prioritize work effectively to maximize output and productivity

Equal Opportunity and Affirmative Action Employer

C.H. Robinson is proud to be an Equal Opportunity and Affirmative Action employer. We believe in equality for all and celebrate the diversity of our employees, customers and communities. We believe this increases creativity and innovation, drives business growth and enables engaged and thriving teams. We’re committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.

Affirmative Action Employer/EOE/M/F/Disabled/Veteran


We are proud to offer a top-tier benefits package, including medical, dental, vision, life and disability insurance, prescription drug coverage, paid parental leave, paid holidays and paid time off (PTO), 401K, employee stock purchase plan, as well as a broad range of career development opportunities.

About C.H. Robinson

From the produce you buy, to the water you drink, C.H. Robinson delivers products to people all around the globe. We are one of the world’s largest 3rd party logistic providers. Join our diverse team to innovate, solve problems, have fun and thrive.