Flipkart Hiring Freshers as Data Scientist

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Data Scientist

Engineering | Bangalore, Bangalore, India

About Flipkart:
Flipkart went live in 2007 with the objective of making books easily available to anyone who had Internet access. In 6 years, we have kick-started the e-Commerce revolution in India, in the process becoming the largest Internet company in India.  With 3500+ people and growing, Flipkart offers a fast paced, fun environment to top talent in the country.
Flipkart’s Core Purpose: To make Shopping Delightful for all.
Our vision: Become a $20 billion company by the year 2020.
We are also the most well-funded Indian Internet company – a sign of deep belief from global Investors who invested in the likes of Facebook, LinkedIn. We are aggressively investing these funds primarily in bringing in world class talent, especially in the areas of Product & Technology, Supply Chain, Retail and Data Science & Analytics to Flipkart.
With 3600+ people and growing, Flipkart offers a fast paced environment with opportunities for high impact & high growth to top talent in the country.
Problems which need to be solved:
Lots of interesting and challenging problems are waiting to be solved. The problems are not only challenging but can create huge business impact when solved correctly. Some of the data science challenges we are attempting to solve are:

1. Demand Forecasting:
2. Credit card Fraud Detection:
3. Recommendation:
4. User based personalization/ User Segmentation:
5. Pricing:
6. Load prediction for supply chain, CS, etc.
7. Predicting optimal promise
8. Automated bid optimization
9. Sales-Channel Attribution
10. And many more

 About Candidate:
We are looking for people passionate about Data Science and who can quickly adapt to a new domain, understand the data and use their data science skills to create impact.
Key skills:

• Strong mathematical modeling rigor of at least one kind (clustering, classification, stochastic modeling, time series etc). After all, you are the specialist, brought in specifically for areas that require deep mathematical modeling
• Enough programmatic background to rapidly prototype. We don't care what language you use, or that your code isn't production grade (you will have engineers who will be translating your model into production ready code)
• Passion towards applied mathematics. We wouldn't keep it beyond you to have tried a mathematical model to predict which twitter accounts are managed by the same person. We also expect you to have a certain degree of research orientation, primarily manifested in the form of consumption/contribution in the applied mathematics research space.
• Quick learning capabilities on the domain front. You'll most likely be learning a new domain to apply your expertise to, remember?
• Hands on with at least one statistical analysis tool
• Passion for performance debugging and benchmarking.

Click Here To Apply