Data Scientist II

Swiggy; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Swiggy in Bangalore/Karnataka is seeking a Data Scientist II with 3–5 years of experience in Operations Research, Optimization and Machine Learning to join a fast-paced team. You will build ML-based solutions to improve ads recommendations and campaign performance, and work on end-to-end inference at Swiggy scale with engineers, PMs and analysts.

You will mine vast historical data, apply DL/ML techniques, and stay current with ML research to drive impact on customer experience and business

Qualifications

• 3 to 5 years of industry/research lab experience.
• Hands-on with ML applied to big data.
• Experience shipping ML data products.
• Experience in Deep Learning and startups/product-based consumer tech is preferred.

Responsibilities

• Develop ML-based solutions to improve ads recommendations and campaign performance.
• Mine and extract insights from large historical data to solve business problems.
• Collaborate with engineers, PMs, and analysts on end-to-end deployment of inference solutions.
• Stay updated with ML research and adapt it to Swiggy’s problems.

Skills

ML/DL/Statistics

Optimization

Operations Research

Big Data

Education

Masters in Applied Mathematics / ML / Statistics

Job description

Job Description:

Company Description

Job Profile: Data Scientist II
Location: Bangalore/Karnataka
Years of Experience: 3 - 5

About The Role

Swiggy is redefining the convenience economy through speed, scale, and service. We're looking for a highly motivated Data Scientist with experience in Operations Research, Optimization, and Machine Learning to join our fast paced, impact-driven team.

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

Job Description

What will you get to do here?

• 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.
• Opportunity to work on challenging and impactful projects in the logistics domain
• Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems
• Develop and deploy machine learning and deep learning models
• Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.

What qualities are we looking for?

• Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
• 3 to 5 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

Qualifications

• 3 to 5 years of industry/research lab experience

• Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics

Additional Information

Visit our tech blogs to learn more about some the challenges we deal with:

https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6

https://bytes.swiggy.com/how-ai-at-swiggy-is-transforming-convenience-eae0a32055ae

https://bytes.swiggy.com/decoding-food-intelligence-at-swiggy-5011e21dbc86

Visit our tech blogs to learn more about some the challenges we deal with:https://medium.com/swiggy-bytes

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

• Team: Food
• BusinessUnit: Technology
• Department.: Data Science

Requirements: