Website C.H. Robinson

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 has a need  for a new team member on our Global Pricing team to uncover predictions from data and drive them to our users and software platforms.

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 work closely with a small team of Global Pricing experts.  You will work with the team to translate a business opportunity into a Data Science question.  You will use your mathematical and statistical toolset to model relevant data and prove the impact of your algorithm.  Finally, you will work with our team of data scientists and technicians to take R&D code to production!


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 dashboarding and visualizations (Jupyter Lab, Rshiny, or Dash)
Experience with Statistical Algorithms, especially Boosting, Classification and Regression
Experience in programming (R or Python)
Experience with data fundamentals including SQL

Preferred Qualifications:

Knowledge of Spark/Hive Ecosystems and other noSQL data environments  
Proficiency with Linux Operating Systems & Containerization
Experience building and interacting with APIs
Experience with streaming services such as kafka
Proven ability to work with a high degree of autonomy and out-of-the-box thinking
Values a diverse and inclusive work environment
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

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