Data Analyst

5 days ago

Bhavnagar, Gujarat, India Swiggy Full time
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.

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.

Responsibilities

As a Data Scientist, 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.

Requirements

We are looking for a highly motivated and skilled Data Scientist with a passion for machine learning and data analysis. The ideal candidate should have:

  • 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

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