Work From Home | Swiggy Careers 2024 For Data Scientist

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Swiggy Careers 2024 for its Data Scientist, Swiggy Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. IF you are interested, Please apply as soon as possible.

Company Name: Swiggy

Role: Data Scientist

Location: Work From Home

Experience: Freshers

Qualification: Bachelors/Masters Degree

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

Swiggy Careers 2024

Job Description:

Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues.

Requirements:

  • Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
  • Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
  • Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
  • Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
  • Required: Strong proficiency in Python, SQL, Spark, Tensorflow
  • Required: Strong spoken and written communication skills
  • Big plus: Experience in the space of ecommerce and logistics

Responsibilities:

  • You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
  • You will mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems.
  • You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
  • You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy’s problem statements.
  • You will publish and talk about your work in internal and external forums to both technical and layman audiences.

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