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

Position:

• Role: Data Scientist - I

Company:

• Name: Swiggy

Location:

• City: Bangalore, India
• Work Arrangement: Remote

Job Type:

• Employment Status: Full-time
• Position Level: Associate

Job Mode:

• Mode: Remote

Job Requisition ID:

• ID: Not specified in the description

Years of Experience:

• Experience Range: 0 - 2 years

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Company Description :

• Swiggy, a leading online food delivery and on-demand services platform in India, has established a significant presence in the digital economy. With operations spread across multiple cities, Swiggy provides a convenient and seamless platform for customers to order food, groceries, and other essentials. Swiggy’s commitment to enhancing user experience is evident in its advanced use of technology, including data science, machine learning, and artificial intelligence, to optimize operations and enhance customer satisfaction.
• Innovation is central to Swiggy’s mission, with a strong emphasis on data-driven decision-making to streamline delivery logistics, personalize recommendations, and optimize various business metrics. The company encourages a collaborative work culture where employees can share ideas freely, publish research, and contribute to Swiggy’s technological advancements.
• The Ads Monetization team at Swiggy is focused on building and optimizing machine learning solutions that enhance the end-to-end lifecycle of ads. This team’s work spans both the Food and Instamart business lines, ensuring targeted and effective advertising through personalized, high-performance models. Swiggy is dedicated to delivering scalable, high-throughput solutions that meet the fast-paced demands of its operations.

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Profile Overview :

• The Data Scientist - I role at Swiggy is designed for professionals with 0 to 2 years of experience, offering a challenging and rewarding environment to develop and deploy machine learning (ML) solutions. As a Data Scientist, you’ll be involved in end-to-end product development, working in close collaboration with cross-functional teams, including engineers, product managers, and analysts.
• The position emphasizes the practical application of ML/DL (Deep Learning) techniques to solve business problems and optimize customer experience (CX). Responsibilities include identifying, formulating, and implementing ML models that contribute to enhanced ad recommendations and campaign performance.
• This role requires leveraging Swiggy’s extensive historical data to generate actionable insights, explore problem-solving techniques, and drive impactful decisions. The Ads Monetization team’s goal is to deliver high-performance, scalable solutions with a particular focus on low-latency ads for a seamless user experience.
• Staying updated with the latest advancements in ML research, particularly in ads bidding algorithms and recommendation systems, is crucial. Data scientists in this role also have opportunities to publish their work and share insights in internal and external forums, thereby contributing to Swiggy’s industry-leading reputation in data science.

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Qualifications :

• Education:

  • Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Data Science, Engineering).

• Experience:

  • 0 - 2 years of experience in industry or research labs, preferably involving machine learning, data analysis, or a related field.

• Technical Skills:

  • Problem-Solving Skills: Strong capability to break down complex problems and create effective solutions from first principles.
  • ML/DL Expertise: Practical experience in applying machine learning and deep learning techniques to solve business challenges.
  • Big Data Exposure: (Preferred) Hands-on experience with large data sets, as well as deploying ML/DL models to production environments.
  • Programming Proficiency: Strong knowledge of Python, SQL, Spark, and TensorFlow for data analysis and model building.

• Communication:

  • Demonstrated ability to communicate technical concepts to a variety of audiences, both technical and non-technical.
  • Strong written and verbal communication skills to articulate complex models and insights effectively.

• Additional Experience:

  • E-commerce and Logistics Experience: Considered a significant advantage, given Swiggy’s focus on both fields.

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Additional Information :

• Team Orientation: As part of Swiggy’s Ads Monetization team, the Data Scientist will play a critical role in developing ML solutions for ad targeting, pricing, and personalization across various business lines.
• Project Involvement: The position provides an opportunity to work on high-impact projects that directly influence customer satisfaction and business outcomes. Swiggy’s approach involves co-owning projects, offering a sense of ownership and accountability in developing scalable ML models.
• Learning and Growth: Swiggy promotes a culture of continuous learning, encouraging its data scientists to stay updated with the latest ML research. Opportunities to contribute to academic and industry forums are encouraged, allowing professionals to grow both technically and intellectually.
• Cross-Functional Collaboration: Close collaboration with engineers, product managers, and business analysts is a key aspect of this role. This setup facilitates smooth end-to-end implementation of solutions and ensures alignment with Swiggy’s business objectives.
• Innovation-Driven Environment: Swiggy’s commitment to innovation is reinforced by a supportive work environment that values idea-sharing and experimentation. The company’s focus on using cutting-edge data science techniques makes this an ideal setting for professionals eager to push boundaries in the ML and AI domains.

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