Applied Scientist (AS2)

Remote | Data Science | Full-time | Fully remote


Machine Learning is dramatically transforming people’s work and life and thereby how businesses work and thrive. Taking good decisions by leveraging machine learning has become imperative for businesses to drive both top line and bottom line and stay competitive in today’s market. At GoKwik we are building some of the industry firsts state of the art models for the e-commerce industry.


About GoKwik-

GoKwik was founded in 2020 with one simple mission, to democratize the shopping experience and increase the GMV realization for e-commerce businesses. The company is backed by Sequoia Capital India, Matrix Partners India, RTP Global, and marquee angels.


GoKwik is an e-commerce enablement company focussed predominantly on solving crucial e-commerce issues like boosting conversion rates across the e-commerce funnel and reducing RTO for our partners. It leverages AI/ML technologies to solve hard-hitting problems like RTO to increase CoD conversion rates. GoKwik's 1-click Kwik checkout improves checkout conversion rates ensuring higher GMV realization and reduced marketing CAC.



We are looking for a motivated, self driven data scientist to join us to transform how e-commerce is enabled. You would work in an exciting and fast paced environment, collaborating closely with teams across the company including products, tech, ML ops and data engineering teams to help us build industry firsts state of the art machine learning models for the e-commerce industry. You will work as part of an organisation that brings together talent in the areas of machine learning, natural language processing (NLP) and deep learning.


Your responsibilities include-

  1. Developing state of the art machine learning models.
  2. Working closely with ML OPS and data engineers to deploy these machine learning models.
  3. Collaborate closely with the product team to understand business needs and incorporate that into thinking around feature engineering and model development.
  4. Designing and executing offline/online experiments



  • Bachelor’s degree in computer science or closely related field.
  • 2-4 years of experience in the areas of data science and machine learning. Experience in classification problems and natural language processing (NLP) would be highly preferred.
  • Proficiency in Python and pyspark. Familiarity with Tensorflow or PyTorch.
  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, A/B experiments, data mining and machine learning algorithms at scale.
  • Excellent communication skills and ability to collaborate in multi-disciplinary team consisting of ML OPS engineers, product managers and other data scientists.
  • Key differentiators- Grounded in a growth mindset, bias for action and demonstrating integrity and accountability.