Data Scientist

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.

We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, weve disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital).

The Role

We are looking for an enthusiastic Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques.

As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay.

You come and work with the right attitude, fun and growth guaranteed!

Roles & Responsibilities

• Solve business problems by applying data science and machine learning.
• Collaborate with cross-functional teams to build and deploy data science solutions.
• Analyze large volumes of data to generate actionable insights.
• Present findings and recommendations to stakeholders.
• Identify key metrics, conduct exploratory data analysis, and create executive dashboards.
• Support multiple projects in a fast-paced environment.
• Train and maintain machine learning models.
• Continuously improve solutions and evaluate their effectiveness.
• Deploy data-driven solutions and communicate results effectively.
  
  
  

• 1-2 years of experience doing ML and building ML models
• Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics
• Sound knowledge of basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavours)
• Experienced in coding in python and good knowledge of at least one language from C, C++, Java
• Familiarity with one or more scripting languages : perl, command-line Unix
• Interest in learning and using deep learning frameworks such as Tensorflow, Keras, pytorch and big data tools like Spark and databricks / AWS / GCP / Microsoft Azure to write production quality ML code
• An interest in ML experimentation end-to-end : how to experiment with models, how to report success, A/B testing.
• Good communication skills and ability to keep stakeholders informed of progress / blockers