Swiggy is hiring for a fresher entry level Data Scientist - I role in India

Position:

• Title: Data Scientist - I

Company:

• Name: Swiggy

Location:

• City: Bengaluru, Karnataka, India

Job Type:

• Employment Type: Full-Time

Job Mode:

• Mode: Remote (With quarterly in-person meet-ups at the base location)

Job Requisition ID:

• Not explicitly mentioned.

Years of Experience:

• Requirement: 0-2 years of industry or research experience

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Company Description

• Swiggy is India’s leading on-demand convenience platform, launched in 2014.
• Operates as a tech-first logistics platform with a solution-oriented approach to consumer demands.
• Serves millions of customers across 600+ cities in India through partnerships with nearly 2 lakh restaurants.
• Employee strength: Over 5000 professionals.
• Features a 2 lakh+ strong independent delivery fleet for efficient and reliable service.
• Key verticals:
  • Swiggy Food: Hyperlocal food delivery service.
  • Swiggy Instamart: Quick commerce grocery delivery across 43 cities.
  • Swiggy Dineout and Swiggy Genie: Integrated services for dining reservations and pick-up/drop solutions.
• Powered by advanced ML technology and vast data processing, ensuring seamless customer experiences.
• Operates Swiggy One, India’s only membership program offering benefits across multiple services.
• Dedicated to innovation and creating fulfilling employee experiences.

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Profile Overview

• Core Domain: Data Science at Swiggy is at the intersection of technology, machine learning, and decision-making.
• Data Science Goals:
  • Embed data-driven methodologies into business and product development.
  • Develop and deploy ML/DL models for real-world applications impacting customer experiences and business metrics.
• Team Dynamics:
  • Collaboration with cross-functional teams like engineering, product management, and analytics.
  • Initiatives focused on high-impact business outcomes.
  • Encouragement for publishing research and sharing ideas.
• Ads Monetization Team:
  • Manages end-to-end machine learning solutions for ad lifecycle management in Food and Instamart businesses.
  • Specializes in ad sourcing, pricing strategies, and personalized targeting using multi-objective user-response models.
  • Focus on scalable and pragmatic ML solutions with high system throughput and low latency.

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Responsibilities

As a Data Scientist, your key roles include:

Machine Learning and Optimization:

• Leverage advanced ML/DL/statistics expertise to develop innovative solutions for:
  • Enhancing ad recommendation quality.
  • Optimizing campaign performance through cutting-edge techniques.

Data Analysis:

• Work with Swiggy’s massive historical datasets to extract valuable insights for business and customer experience enhancements.

Collaborative Development:

• Collaborate with:
  • Engineers: Technical designs and implementation strategies.
  • Product Managers: Detailed requirement analysis.
  • Analysts: Streamlining data workflows for Swiggy-scale operations.

Research and Adaptation:

• Stay updated with ML advancements, especially in:
  • Ads bidding algorithms.
  • Recommendation systems.
• Incorporate state-of-the-art research into Swiggy’s problem-solving frameworks.

Knowledge Sharing:

• Present findings in:
  • Internal forums for technical reviews.
  • External platforms to showcase innovation to the broader community.

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Qualifications

Educational Background:

• Mandatory: Bachelor’s or Master’s degree in a quantitative field.

Skills and Expertise:

1. Required:

   • Excellent problem-solving abilities and a first-principles approach.
   • Proficiency in ML/DL methods and statistical techniques applied to business problems.
   • Strong skills in:
     • Python, SQL, and Spark.
     • TensorFlow or similar tools.
   • Effective verbal and written communication skills.

2. Preferred:

   • Hands-on experience in:
     • Working with big data.
     • Deploying ML/DL models in production environments.
   • Background in e-commerce or logistics domains is a significant advantage.

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Additional Information

• Swiggy offers a remote-friendly work environment with periodic in-person collaboration opportunities.
• Dedicated to fostering a culture of equality and inclusivity:
  • Committed to equal opportunity employment, regardless of race, gender, religion, or other protected characteristics.
• Work-Life Flexibility: Freedom to work remotely year-round with structured quarterly meet-ups.
• Focus on continuous learning: Encourages employees to engage in ongoing research, conferences, and skill development.
• Emphasis on innovation in high-throughput systems, providing exposure to challenging and impactful projects.
• Opportunity to work in a dynamic, fast-paced environment with a customer-first mindset.

Please click here to apply.

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