HomeRazorpay | Jobs | Senior Data Scientist | BigDataKB.com | 08-02-22

Razorpay | Jobs | Senior Data Scientist | BigDataKB.com | 08-02-22

Job Location: Bangalore

About Razorpay

In 2014, what started as India’s first payment gateway built for Startups is

now one of India’s youngest FinTech unicorns with a $3 Bn valuation and the

single best destination for all things payments and business banking. Razorpay

offers an integrated platform for all things payments and business banking,

helping millions of small and big businesses simplify and accelerate every

aspect of their financial journey.

Today, Razorpay is a 1400 fun bunch of spirited, analytical, and ambitious

folks building the first-of-its-kind technologies for the fintech ecosystem. We

are a bunch of hungry mavericks here to empower 10Mn businesses in their

digital transformation and enhance the payment experience of over 500 million

end consumers in the next twelve months.

And we are just getting started, Would you want to join this club of

thinkers, innovators, dreamers, and challengers?

Job Role: Senior DS/MLE

Job Summary

We are looking for a savvy Data Scientist/ ML Engineer to join our growing

team. The hire will be responsible for expanding and optimizing our data

pipeline architecture and building SOTA models for several use-cases. Problems

examples – Risk engines, Recommendation systems, NER for address, CV for

auto-verifications, and much more.

Your Opportunity

As part of the DS team @Razorpay, you’ll have the opportunity to work with

some of the smartest engineers/architects/data scientists and will have the

opportunity to solve one of the most critical problems for Razorpay. You will

grow as a mentor while being hands-on for all programing requirements, and make

important business decisions.


  • You will work with huge volumes of data to solve/enable solving real-world

ML problems that are productionized into our ML platform to be consumed by

downstream applications OR become product features OR stand-alone products.

  • You will combine data sciences depth, programming expertise and

mathematical understanding of techniques to deliver state-of-the-art ML

solutions for problem solving across the enterprise.

  • You will demonstrate a product mindset and look to deliver reusable

components that can be deployed as or into ML services/productized solutions.

  • You will partner closely with engineering, product management, analytics &

growth teams from across org to deliver outstanding value to stakeholders and

our products

  • Demonstrate strong program management expertise to be able to multitask


  • Mentor junior data scientists effectively to deliver success.
  • Running end-end data sciences projects from a conceptualization to


  • Able to present to stakeholders effectively about the findings & also

iterate on the business problem definition & experimentation

  • Be a Team Player. Apart from working cross-functionally effectively,

contribute to peer reviews, team learning, meet product objectives and develop

best practices for the organization

Your Qualifications

  • 4-6 years of experience doing predictive modelling and machine learning in

a production setting

  • Masters or PhD in Operations Research, Applied Math, Computer Science,

Engineering, or related quantitative subject

  • Strong expertise and mathematical understanding of one or more of the

following areas is required:

  • Classic Machine learning techniques including regression, classification,

similarity scoring and other predictive methods

  • Bayesian Methods and techniques
  • Experience in developing AI solutions for any of the following domains:

Computer vision, Image processing, Natural Language Processing (NLP) or


  • ML Explainability methods and evaluation of ML algorithm performance.
  • ML experiment design and tracking, A/B/N testing with strong hold on


  • Strong analytical abilities, ability to define relevant measurements /

metrics for a given problem

  • Strong technical programming ability with an emphasis on Python, Golang is

a plus.

  • Experience working with models in production environments
  • Experience with deep learning toolkits and frameworks
  • Experience with SQL and/or Big Data Tools (expert level knowledge of spark,


  • Experience with AWS tech-stack is a plus.
  • Intelligent but practical; you want to get things done and love simplicity
  • Excellent written and verbal communication skills
  • Comfortable interacting with technical and non-technical audiences

including business and tech leadership

Apply Here

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