Swiggy is hiring for a Data Scientist

Position: Data Scientist - II

Company: Swiggy

Location: India

Job Type: Full-time

Job Mode: Remote (with quarterly meetups)

Job Requisition ID: NA

Years of Experience: 3 to 5 years

Company Description

• Industry: Software Development
• Employee Range: 1,001-5,000
• Mission: Swiggy aims to revolutionize the food delivery industry by leveraging technology to ensure seamless logistics and customer satisfaction.
• Core Values:
  • Innovation: Continuously pushing the boundaries of what's possible in food delivery.
  • Customer Focus: Ensuring the highest levels of customer service and satisfaction.
  • Collaboration: Fostering a team-oriented environment where every member contributes to the company's success.
  • Integrity: Maintaining transparency and honesty in all business practices.

Profile Overview

• Role: As a Data Scientist II, you will enhance Swiggy’s logistics operations through advanced data science techniques.
• Responsibilities:
  • Logistics Optimization: Work with the logistics team to optimize Assignment and Batching processes.
  • Machine Learning Models: Develop and deploy models to improve logistics efficiency and accuracy.
  • Data Analysis: Conduct data analysis and modeling to identify opportunities for optimization.
  • Cross-functional Collaboration: Work with software developers and product managers to integrate data-driven solutions.
  • Project Ownership: Manage projects from inception to delivery, ensuring quality and impact.
  • Continuous Learning: Stay updated on advancements in machine learning and logistics optimization.

Qualifications

• Education: Bachelor’s degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
• Experience:
  • 3 to 5 years in industry or research lab settings.
  • Proven track record in developing and deploying machine learning data products.
• Technical Skills:
  • Proficiency in Python.
  • Strong expertise in machine learning algorithms and statistical methods.
  • Experience with Spark (preferred).
  • Knowledge of deep learning (preferred).
• Soft Skills:
  • Excellent communication skills.
  • Strong collaboration abilities.
  • Ability to work effectively in a team environment.
• Preferred Background:
  • Experience in startup or product-based consumer/internet companies.

Any Additional Info

• Work Environment:
  • Remote work throughout the year with quarterly meetups.
  • Collaborative and supportive culture.
• Benefits:
  • Competitive compensation package.
  • Opportunities for professional growth and development.
  • Involvement in impactful projects within the logistics domain.
• Application Encouragement: If you are passionate about data science and logistics optimization, this role is an excellent opportunity to apply your skills and make a significant impact.

Detailed Job Description

Key Responsibilities

Logistics Optimization

• Assignment and Batching:
  • Collaborate with the logistics team to streamline assignment and batching processes.
  • Utilize advanced mathematical techniques to enhance efficiency.
  • Implement changes that lead to better resource allocation and time management.

Machine Learning Models

• Development:
  • Create and refine machine learning models aimed at improving logistics.
  • Ensure models are scalable and can handle large datasets.
• Deployment:
  • Implement models into existing systems with minimal disruption.
  • Monitor performance and make adjustments as necessary.

Data Analysis and Modeling

• Opportunity Identification:
  • Analyze data to uncover areas for optimization.
  • Propose solutions based on data-driven insights.
• Automation:
  • Develop models to automate routine processes.
  • Increase accuracy and efficiency through automation.

Cross-functional Collaboration

• Integration:
  • Work with software developers to embed data-driven solutions into Swiggy’s systems.
  • Partner with product managers to align data projects with business goals.
• Teamwork:
  • Foster a collaborative environment.
  • Share knowledge and insights with team members.

Project Ownership

• Management:
  • Lead projects from start to finish.
  • Ensure timely delivery of high-quality results.
• Impact:
  • Focus on delivering results that significantly improve logistics operations.
  • Measure and report on project outcomes.

Continuous Learning

• Advancements:
  • Stay informed on the latest machine learning techniques.
  • Apply new methods to enhance logistics optimization.
• Professional Development:
  • Participate in workshops and conferences.
  • Share new knowledge with the team.

Qualifications

Educational Background

• Degree:
  • Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or related field.
• Preferred Fields:
  • Specializations in areas relevant to data science and machine learning.

Professional Experience

• Industry Experience:
  • 3 to 5 years of hands-on experience in industry or research settings.
  • Experience in logistics or related fields is a plus.
• Research Experience:
  • Prior work in research labs can be advantageous.

Technical Proficiency

• Programming:
  • Advanced skills in Python.
• Machine Learning:
  • In-depth knowledge of algorithms and statistical methods.
  • Experience with Spark is beneficial.
• Deep Learning:
  • Familiarity with deep learning techniques is preferred.

Soft Skills

• Communication:
  • Ability to articulate complex ideas clearly.
  • Effective in both written and verbal communication.
• Collaboration:
  • Proven ability to work well within a team.
  • Experience in cross-functional team settings.

Preferred Background

• Industry Experience:
  • Work experience in startups or consumer-focused internet companies.
• Product Development:
  • Experience in developing and shipping ML data products.

Why Join Us?

Work Environment

• Remote Work:
  • Employees can work remotely all year, with quarterly meetups.
• Culture:
  • Supportive and collaborative environment.

Please click here to apply.

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