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Ways of Working - Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.
Experience Range : 0 to 2 years
About Swiggy :
Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.
About the Role & the Team:
The Customer ML team builds data science products to power experiences beginning from the time you launch the app until the order is placed.
● On the storefront side, these include low-latency, high-throughput algos powering recommendations, personalization and monetization across the purchase funnel, Search relevance and ranking and extracting intelligence from our multi-entity catalog.
● On the revenue & growth side, we work on ML for computational advertising, intelligent discounting, customer lifecycle management, fraud/abuse prevention and new/incubating initiatives.
● We own or co-own several initiatives with a direct impact on the business. Our work involves the intersection of ML/DL, optimization, statistics, data mining, econometrics, graph theory and large-scale distributed systems. We are a group of data scientists, ML engineers and analysts.
As a Data Scientist I, you will be working closely with various teams within Customer ML team with an opportunity to build end-to-end data products- from conceptualizing the mathematical problem to solve, assembling relevant data pipelines, iterating on ML/DL methods and taking them to production
What qualities are we looking for?
● Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics, Operations Research with 0 to 2 years of industry/research lab experience
● Technically hands-on with deep dive expertise in applying ML to big data
● History of having shipped ML data products
● Results-oriented team player with a strong sense of ownership
● Experience working with software developers, product managers and overall SDLC
● Experience in Deep Learning and previous experience in startups and/or product-based consumer/internet companies is preferred
What will you get to do here?
● A Data/ML Scientist is responsible for solving tough, high-impact problems on the consumer side of things using machine learning, data mining, statistical analysis and related techniques.
● You will be problem solving and would be responsible to deconstruct and formulate solutions from first-principles.
● You would be involved in hands-on programming (intermediate to advanced level PySpark, Python, SQL and beginner level Scala) on big data (familiarity with AWS and open-source ecosystem tools) with the ability to manipulate structured and unstructured data.
● You will have/develop a strong understanding of the business & product and conduct data analysis to derive insights as a precursor formulating the problems and modeling with ML.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law".
