Swiggy - Principal Analyst - Data Science/Statistics/Analytics - IIT/BITS/NIT

Have you come across the term 'Swiggy' :

- Swiggy is building a talented, efficient workforce to address a constantly changing set of unsolved problems in the area of Food Discovery and Delivery. Online food delivery is an extremely high-involvement, time-constrained transaction with no room for error.

- It comes with its own unique complexities and dynamics that are considerably different from other forms of E-commerce.Swiggy provides food-delivery services from restaurants in the users' vicinity on its website as well as on a mobile app available on both Android and iOS platforms.

- Swiggy was started in August 2014 by Sriharsha Majety and Nandan Reddy, both alumni of BITS-Pilani, and Rahul Jaimini, an alumnus of IIT, Kharagpur.Is Swiggy different- Swiggy, unlike several other food ordering platforms has its own delivery fleet consisting of smartphone equipped personnel, guided by an app powered by routing algorithms, who pick up orders from restaurants and deliver them to customers.

What we have :

- We currently have a core team of close to 1000 people across 7 cities. This counts among the fastest new geography launches ever witnessed in Indian start-ups that are operations-intensive.

- Swiggy has tie-ups with close to 1000 restaurants across Bengaluru, Gurgaon, Delhi, Hyderabad, Kolkata, Mumbai, Pune and Chennai.

Funding Details :

We have got 3 rounds of funding in a year's time a total of $52.5 million US Dollars. We are trying to solve some of the interesting problems in the food & logistics space such as building cloud kitchen infrastructures, building a scalable platform to support a Lakh orders per day.

Please have a look at the JD for the role of Principal Analyst.

CTC : 20LPA

Here are the requirements :

Educational Qualification : Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometric, Applied Mathematics, Operations Research or related technical degree

Relevant Experience :

- 4+ years of work experience in a related position, as a data scientist or Statistician building predictive analytics solutions for various types of business problems

Functional Competencies :

Must have :

- Advanced knowledge of statistical techniques, machine learning algorithms, data mining, text mining

- Programming background and expertise in building models using at least one of the following languages : SAS, Python, R

- Strong story-telling & articulation skills ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

- Experience in handling big data sets (Structured or unstructured data). Ability to understand business problems and convert them to an optimal data strategy.

- Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization

Good to have :

- Experience working with big data platforms, like Hadoop, Hive, HBase, Spark, etc

Note : we are looking for candidates from a very strong pedigree point of view- candidates must be from tier-1 colleges (IIT, BITS, NIT etc) and also have work experience from some great analytics companies (Amex, MuSigma, 24X7, Fractal, Global Analytics etc.)