Flipkart: Data Scientist

If you are passionate about Data, looking to impact billion+ people, and have an advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Optimization, NLP or related areas, we would love to talk!

Flipkart Company: Flipkart
Location: Bangalore, India
Web: www.flipkart.com

About Flipkart
Flipkart, the biggest e-commerce platform in India has seen phenomenal growth since inception. Some current facts about Flipkart:
  • $1 Billion GMV
  • 2nd most browsed Indian site, as per Alexa ranking
  • 4 million daily page visits
  • 5 million shipments per month
  • 15 million products
  • 22 million registered users

On July 29th, 2014 Filpkart raised USD $1 Billion in one of the largest funding rounds for any e-commerce company globally - and the single largest round by an internet company from India.

About e-commerce in India
Total Retail: 2013 - $600 Billion; 2020 (projected) - $1.2-$1.5 Trillion
Total e-commerce: 2012 - $2 Billion; 2020 (projected) - $50 Billion+

Why Data Science at Flipkart:
At Flipkart, we believe that in order to create an awesome online buying experience and to deliver high levels of customer satisfaction, technology needs to be exploited to the fullest. With this vision we have built a reliable and scalable technology framework which is making e-commerce happen in India. When we pause to think what's next,we see the need to build strong and intelligent systems that can take complex, vague information and translate that it into timely and accurate decisions. To solve this challenge, we are growing our Data Sciences team.

Flipkart have unique set of challenges due to the geography, demographics and the growth potential of the ecommerce sector. These challenges pose a massive opportunity to be unlocked.
  • Diversity: The Indian population is truly diverse with respect to social, economic, cultural and geographic aspects which manifests in buying pattern and expectations in e-commerce.
  • Lack of organized retail: It is believed that India has skipped the evolution phase of organised retail which means no trends and patterns to learn from for the e-commerce industry.
  • Nascent ecosystem: Under-developed infrastructure and support services that leads to fuzziness in ecosystem.
  • Exponential growth: Indian e-commerce market grew 10 folds in last 3 years and estimated to grow another 10 folds in next 2-3 years. i.e. 100 times in 5-6 years!!
  • Expectation of intelligence behavior for customer satisfaction: Today's customer expects intelligent behavior from various technology systems.
  • Internet traffic moving from desktop to mobile: India's internet revolution is happening via the handheld devices. And hence the mobile specific solutions around personalization, recommendation becomes very important.

Opportunity areas:
We are looking at lots of interesting and challenging problems which can create huge business impact. Some of the problem areas we are working on are:
  • Personalisation
  • Recommendation
  • Pricing
  • Promotion
  • Demand forecasting
  • Supply chain optimization
  • Online marketing optimization
  • Fraud and risk estimation
  • Marketplace intelligence
  • Self healing systems
  • And many more

About Candidate:
If you have an advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Optimization, NLP or related areas, and are passionate about Data and looking to impact billion+ people, we would love to talk!

Please drop a note to kdd@flipkart.com with 'KDnuggets' as the subject.