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Swiggy Off Campus Drive 2024 | Join as a Data Scientist in India | Work from Home | Apply Now | Placement Officer
Introduction
Are you a
data enthusiast with a passion for machine learning and problem-solving? Swiggy
is seeking talented Data Scientists to join their team through the 2024
Off Campus Drive. This remote position offers a unique opportunity to work
on cutting-edge machine learning (ML) solutions that impact millions of users
across Swiggy's platforms, including food delivery and Instamart. If you have
the skills to deconstruct complex problems and develop scalable ML solutions,
this could be your chance to thrive in a dynamic work environment.
About Swiggy
Swiggy is
India’s leading food delivery and grocery service, known for its innovative
approach to logistics and customer experience. With a data-driven culture,
Swiggy leverages advanced analytics and ML to enhance user experience, optimize
delivery systems, and provide scalable solutions. Joining Swiggy means being
part of a company that encourages creativity, innovation, and collaboration.
Way of Working - Remote
Swiggy
offers employees the flexibility to work remotely throughout the year.
While you will be working from home, Swiggy also encourages team bonding by
bringing remote employees together in their base location for a week, once
every quarter. This hybrid model allows you to enjoy a balanced work
environment while being connected with your team.
Role Overview: Data Scientist
As a Data
Scientist at Swiggy, you will be part of a team that integrates machine
learning and data science deeply into decision-making and product development.
You will have the opportunity to work on Ads Monetization, a high-impact
area that focuses on building and optimizing ML solutions for ad
recommendations, pricing, and user-response models. This role involves
end-to-end development, from conceptualizing business problems to deploying ML
models at scale.
Key Responsibilities
1.
Machine Learning & Solution Development:
·
Build ML Solutions: Develop next-generation ML-based solutions
to enhance ad recommendations and campaign performance.
·
Data Analysis: Extract relevant information from Swiggy's
extensive historical data to ideate solutions to business and customer
experience problems.
·
Optimization Techniques: Utilize various optimization techniques to
improve the quality and effectiveness of ad campaigns.
2.
Research & Collaboration:
·
Stay Updated with ML Research: Keep abreast of the latest in ML research,
particularly in Ads Bidding algorithms and recommendation systems, and adapt
these techniques to Swiggy's use cases.
·
Cross-Functional Collaboration: Work closely with engineers, product
managers, and analysts on technical designs and end-to-end implementation of
inference solutions at scale.
·
Knowledge Sharing: Publish and present your work at internal
and external forums, engaging with both technical and non-technical audiences.
Skills & Qualifications Required
Educational
Background:
·
Bachelor's or Master's Degree in a quantitative field (e.g., Computer
Science, Data Science, Mathematics, Statistics).
Technical
Skills:
·
Problem-Solving Abilities: Ability to deconstruct complex problems and
develop first-principle solutions.
·
ML/DL Expertise: Hands-on experience with machine
learning, deep learning, and statistical techniques for solving business
problems.
·
Programming Proficiency: Strong skills in Python, SQL, Spark,
Tensorflow.
·
Big Data Experience: Experience working with large datasets and
deploying ML/DL models to production is a plus.
Preferred
Skills:
·
Ecommerce & Logistics Knowledge: Experience in the ecommerce and logistics
space is advantageous.
·
Communication Skills: Strong spoken and written communication
skills to present technical information clearly to various stakeholders.
Work
Mode:
·
Remote (Work from Home)
·
Base Location: Employees will come together in their base
location for a week, once every quarter.
Why Join Swiggy as a Data Scientist?
1.
Flexibility & Work-Life Balance:
·
Remote Work: Enjoy the freedom to work from anywhere,
with periodic meet-ups to foster team collaboration.
·
Dynamic Work Culture: Be part of a fast-paced, creative, and
collaborative environment where your ideas are valued.
2.
Learning & Growth:
·
Cutting-Edge ML Solutions: Work on high-impact projects that involve
building scalable machine learning models for ad recommendation systems.
·
Skill Development: Enhance your skills by working with advanced
ML/DL frameworks and real-world data sets. Keep up with the latest in machine
learning research.
·
Knowledge Sharing: Engage in internal and external
presentations, workshops, and publications, making Swiggy a learning-rich
environment.
Swiggy’s Commitment to Innovation
Swiggy’s Ads
Monetization Team focuses on building robust solutions that are efficient,
scalable, and tailored to enhance customer experience. The team drives the full
lifecycle of ads across Swiggy’s business lines, making it a crucial component
of the company’s growth strategy. You will be part of a team that prides itself
on pragmatic solutions that are deeply integrated into Swiggy's ecosystem.
How to Apply for the Data Scientist Position
Ready to
make an impact at Swiggy? Here’s how to apply:
1. Prepare
Your Resume:
Highlight your skills in ML/DL, programming, and any relevant projects or
research work.
2. Submit
Your Application: Visit
Swiggy’s careers page or follow the link provided in the job listing to apply.
3. Screening
& Interviews: Shortlisted
candidates will be contacted for assessments and interviews.
Perks of
Joining Swiggy as a Data Scientist:
·
Remote Work Flexibility: Freedom to work from any location while
staying connected with your team.
·
Career Growth: Opportunities to learn, innovate, and grow
your career in a dynamic, data-driven environment.
·
Cutting-Edge Projects: Work on challenging projects that involve
advanced machine learning and data science techniques.
Conclusion
Jumpstart
your career in data science by joining Swiggy as a Data Scientist
through their 2024 Off Campus Drive. This remote position allows you to work on
innovative ML solutions that drive the success of Swiggy’s ads monetization
strategies. If you have a background in machine learning, strong programming
skills, and a passion for data, don’t miss this opportunity to make a
difference in one of India’s leading tech companies.
Ready to
Apply? Submit Your Application Today and Join Swiggy’s Data Science Team!
How to Apply:
Apply Link: Click
Here To Apply for Swiggy
|
Check the Other Latest Off Campus Drives |
How to Apply:
Apply Link: Click
Here To Apply for Swiggy
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
