BriefCase
BriefCase

Data Scientist Ii Job in Swiggy

Data Scientist Ii

Swiggy 4+ weeks ago
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Job Summary
  • 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.
  • 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 have excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles.
  • You will have strong depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. We expect hands-on programming experience (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.
  • We also expect that 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.
  • You will have strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good documentation of your experiments/results.
Experience Required :

2 to 6 Years

Vacancy :

2 - 4 Hires

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