Data Scientist

₹15L – ₹20L
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Company is democratizing commerce in India through its social commerce platform. creating entrepreneurs with zero investment (with a large majority being women) and getting the next 400M users (from smaller towns) to transact online.

Have young team of 300+ highly motivated individuals from pedigree institutions such as IITs and IIMs. Our fundamental belief is that technology is going to be the game changer in the coming years. We are a team of geeks who take pride in solving problems by creative use of technology.

Company is Series B funded by top global funds including Kalaari Capital, Unilever Ventures, Stellaris Venture Partners and Vy Capital.

Responsibilities
Core Personalisation algorithms - these are used for driving re-seller engagement, offers, growth/retention strategies & product  suggestions, app feed prioritisation — From understanding how to gather the data for cold-start recommendations, to collaborative filtering models, to incorporation of feedback so that the re-sellers are able to drive more business from the platform.
Develop models that help understand and describe reseller’s demog, selling cycle, acquisition pattern, reduce return, increasing the network’s engagement & profit margin.
Operations research— every day we make many small (and large) decisions, from what products to procure, which resellers to target, where to enable or disable deliveries, reduce the return rate and improving overall efficiency. Each of these decisions has a cost and benefit, along with competing trade-offs to consider
Insights, Forecasting and predictive models— to make smart decisions, we need to have a crystal ball that tells us with a degree of certainty what will happen in the future by leveraging from tons of data harnessed till now
 
 Skill Sets
B Tech, MS in quantitative discipline (e.g. math, computer science, stats, physics, engineering, operations research)
At least 2 year experience in data science in a similar industry/ Startups
Strong SQL skills, Good hold of NoSQL databases
High level of proficiency in R, Python, Scala or similar modelling/scripting language
Strong hands-on knowledge in statistics, optimization and experience developing and deploying machine learning & data visualization
Experience developing and deploying machine learning algorithms that drive consumer engagement, forecasting, ranking & sorting, demand & logistics.
Prior experience in an ecommerce and scale-up environment preferred

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