Job description


The duties and responsibilities of this position consists of, but are not limited to, the following:

  • Develop new features for existing algorithms through statistical and machine learning methodologies
  • Design and engineer high performance computing platforms and algorithms for a wide variety of data
  • Validate and implement modelling improvements to increase accuracy of data science Algorithms
  • Evaluate and understand current & nascent modelling methods in the Data Science space
  • Summarize and present findings to internal stakeholders
  • 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
  • Stays current on industry/market best practices
  • Other duties or responsibilities as assigned according to the team and/or country specific requirements



  • Bachelor’s degree in a quantitative discipline
  • Minimum 2 years of experience in advanced analytics, machine learning and/or data science
  • Experience with Statistical Algorithms, especially Boosting, Classification and Regression
  • Experience in programming: R and Python
  • Familiarity with data fundamentals including SQL


  • Experience with Spark/Hive Ecosystems and other noSQL data environments
  • Proficiency with Linux Operating Systems & Containerization
  • Experience building and working with APIs
  • Experience working with Data Mining & Network Models
  • Experience with deep learning including TensorFlow & PyTorch
  • 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
  • Values a diverse and inclusive work environment

Your Health, Wealth, and Self

Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including:

  • Group Mediclaim Policy (GMC)

  • Group Personal Accident (GPA) policy

  • Covid-19 related coverage and reimbursement

  • Employee State Insurance Corporation (ESIC)

  • Group Term Life (GTL) Insurance Plan for employees

  • Employee Stock Purchase Plan (ESPP)

  • Investment Declaration & Flexi Benefit Plan

  • Variable Pay based on position

  • Flexible work arrangements

  • Paid Privilege, Casual and Sick Leaves

  • Paid Maternity & Paternity Leaves

  • Paid Compassionate Leaves

  • Paid Public Holidays

  • Paid time off to vote

  • Reward & Recognition Program

  • Wedding Allowance

  • Special Mobility Assistance

  • Employee Wellness Initiatives

  • Plus a broad range of career development, networking, and team-building opportunities

Equal Opportunity Statement

C.H. Robinson recognizes the value of equal employment opportunity and is committed to promoting fairness, equity and diversity in the workplace. As an equal opportunity employer, we may invite you to complete the voluntary self-identification. Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment, Any information provided will be kept confidential, and separate from your employment application. This information may be used for diversity reporting purposes in accordance with applicable local law.

Why Do You Belong at C.H. Robinson?

Standing out among the world’s largest logistics platforms, C.H. Robinson solves logistics problems for companies across the globe and across industries, from the simple to the most complex. For 100+ years, our global suite of services has innovated trade to seamlessly deliver the products and goods that drive the world’s economy. With 19 million shipments annually for 105,000 customers, our people and technology literally move the world.

As a FORTUNE 200 company, FORTUNE has also named C.H. Robinson one of the World’s Most Admired Companies 2022. Headquartered in Eden Prairie, Minnesota, we are proud to be recognized as one of LinkedIn’s Top Companies in Minneapolis-St. Paul 2021. And we’re not stopping there… Join us as we collaborate, innovate, and work as one global team to make life better and more sustainable for our customers, communities, and world.

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