Data Scientist - Personalization

Gurugram, Haryana, India Full-time

About Grofers:
Grofers is a low-price online supermarket that gets products across categories like grocery, beauty & wellness, household care, baby care, pet care and meats & seafood delivered to your doorstep. At Grofers we believe in improving the quality of life of our customers by providing the best products at the best prices. To be able to meet customer expectations and enrich their shopping experience, we provide them with products they best relate with, help them save money on everyday purchases, and give them the spending power they need.

Objective of the Role:

If you are excited about consumer behavior, internet products, and using data science to build intelligent systems that will engage millions of customers in a fulfilling and delightful experience, this is the perfect opportunity for you. For this role, we are looking for creative data scientists with a passion for using data science to drive a huge positive impact in the lives of millions of our customers.  

Role and Responsibility:
This is a critical role that will shape the future of customer experience on our platform and drive personalization across the user journey. This role involves working with a cross-functional team to drive the personalization across assets on the app and build new features to take our personalized value offering to our customers to the next level.

Desired Skill and abilities:

  • 3+ years of experience.
  • Clarity around ML fundamentals like Probability theory, Statistics, Bayesian Approach,  Supervised, Unsupervised and Reinforcement learning, Linear Models, Decision trees, Neural Networks, Deep learning, Genetic Algorithms, Ensemble Methods, etc.
  • Proficient in Python and Jupyter.
  • Hands-on with SQL.
  • Strong working skills in Pandas, Scikit-learn and visualization libraries like Matplotlib, Seaborn, etc.
  • Stronghold on all the stages of taking a Model till production like Scouting for Features, Data wrangling, and cleaning, Feature engineering, choosing the right algorithms, validation techniques, working with large data-sizes, rolling out versioned Models in production using A/B Test, measuring KPIs in production, etc.
  • Experience on working with Open source ML frameworks like Tensorflow, PyTorch, Caff2, etc would be a plus.
  • Understanding of ETL components.
  • Past experience with personalization and recommendation systems (it’s a big plus but not mandatory if you are passionate about these)
  • Experience of working with Workflow management tools like Apache Airflow, Azkaban, Luigi, etc.
  • Experience of working on Recommendation problems.
  • Contribution to Open source.

Excited? You will be, once you visit our Engineering Blog where you can deep dive into all the cool stuff that our engineers have been working on.

All candidates interested in exploring the opportunity are requested to apply with us on