• Data Scientist

    Job ID
    Technology - Data Science
    Location : Location
  • About Rivigo

    never been done


    Logistics is the largest addressable market globally. It is a USD 2 trillion industry, which is about 20X the cab market

    revenue pool. The challenges it presents are also far more futuristic than most other industries.


    Founded in 2014 and listed among the world’s top emerging businesses, RIVIGO is bringing alive the power of

    technology to provide ‘relay’ as a service on a unified logistics platform which ensures 50-70% reduction in

    turnaround time and highest reliability for clients, helping them reinvent their business models-serving new

    markets, reducing inventory and significantly cutting costs.


    Grounded in the mission of making logistics human, we have fundamentally changed the truck driver’s

    job from a ‘months-away-from-home’ job to a ‘day’ job. Unlike conventional truck drivers, relay pilots

    drive from pitstop to pitstop (under 300 kms) and return to their families the same day, thus, creating

    huge social dividend. 

    About the Role

    Why Rivigo Labs?


    Technology is at the core of our vision. For anyone looking at limitless opportunities of creating impact through

    futuristic technology applications while being around stunning colleagues who think big, bold and first-principle,

    RIVIGO Labs is the place to be.


    futuristic tech

    What will you do?

    Data Scientists @ RIVIGO are a part of a world-class team, which works closely with business leaders and engineering teams to identify, formulate and solve problems end-to-end. We use tools from ML/AI, Econometrics and Operations Research to solve one of the most challenging problems in that plague logistics with the goal of creating a completely autonomous supply chain network. This is an extremely challenging opportunity to be an important part in defining the future of mobility by solving problems on many areas including pricing, network optimization, customer analytics and marketplace design.


    Responsibilities for Data Scientist

    • Work with stakeholders throughout the organization to identify opportunities to leveraging data and algorithms to drive business solutions.
    • Improve business outcomes by using Machine Learning models, Operations Research and Econometrics.
    • Creatively identify new data sources and test the quality of new data sources.
    • Develop processes and tools to monitor and analyze model performance and data accuracy.
    • Develop A/B testing framework for real-world field experiments.


    • Strong problem solving skills with an emphasis on product development and drive to learn and master new technologies and techniques.
    • Bachelor's or Master’s degree in Statistics, Mathematics, Computer Science or another quantitative field from premier institutes.
    • 5-7 years of experience in manipulating data sets and building statistical models or PhD in a quantitative field.
    • Exceptional skill in using statistical computer languages to build models: R, Python, SASS, etc using large data sets
    • In depth knowledge and experience in statistics, machine learning methodologies
    • Excellent written and verbal communication skills for coordinating across teams.
    • Coding knowledge and experience with several languages: Python, java , etc. is a plus
    • Experience working with and creating data architectures is a plus.
    • Exposure and working knowledge to spark, scala, and spark MLlib are a plus.


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