If you are a fresher or have 0-3 years of experience and want to work in an innovative environment, the Data Scientist I at Swiggy position is a perfect opportunity to kickstart your career. Swiggy is a leader in the eCommerce and logistics domain, leveraging cutting-edge ML/DL and data science techniques to enhance customer experience and business performance. 🌟
About Swiggy
Swiggy is India’s leading food delivery platform, operating at a massive scale across logistics, customer engagement, and data-driven solutions. The company thrives on innovation, encouraging its teams to solve complex problems using data science and machine learning. Working at Swiggy means being part of a high-impact environment where data-driven decision-making is at the core of operations.
In this role, you will get the chance to work on initiatives that directly influence ads recommendation systems, campaign optimization, and overall customer experience in a fast-paced eCommerce setting.
Role Overview: Data Scientist I
The Data Scientist I at Swiggy role involves building ML and DL solutions to solve real-world business problems. You will be actively contributing to projects that directly impact Swiggy’s ads recommendation system, campaign performance, and logistics optimization.
Key Responsibilities:
- Build and deploy ML/DL models to enhance ads recommendation quality.
- Extract insights from Swiggy’s vast historical data to solve business and CX challenges.
- Collaborate with engineers, product managers, and analysts to design end-to-end inference solutions.
- Stay updated with ML research in recommendation systems, ads bidding, and generative AI.
- Present findings and solutions to both technical and non-technical audiences.
- Take ownership of projects from ideation to delivery, ensuring high-quality, impactful results.
This role provides exposure to big data analytics, Python, SQL, Spark, TensorFlow, and emerging AI technologies like Generative AI and NLP models, making it ideal for aspiring data scientists.
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Who Can Apply?
| Qualification | Skills Required | Experience |
|---|---|---|
| Bachelors or Masters in quantitative fields | Python, SQL, Spark, TensorFlow | Freshers & 0-3 years |
| Strong understanding of ML/DL techniques | Statistical techniques, Generative AI | Entry-level |
| Problem-solving mindset | Ads recommendation systems, Big Data | Preferred |
| Strong written & spoken communication | ML model deployment | Not mandatory |
Candidates with experience in eCommerce, logistics, or AI-based solutions will have an added advantage.
Preferred Skills
- Machine Learning & Deep Learning: Building models for recommendation systems and ads optimization.
- Programming & Tools: Python, SQL, Spark, TensorFlow
- Data Engineering: Working with large-scale data pipelines and production-grade ML systems.
- Generative AI & NLP: Knowledge of LLMs and agentic AI.
- Problem Solving: Ability to deconstruct business problems and find data-driven solutions.
- Communication Skills: Present insights clearly to both technical and non-technical teams.
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What You’ll Get
- Hands-on experience in ML/DL, Generative AI, and big data technologies.
- Opportunity to work on real-time ads recommendation and campaign optimization projects.
- Exposure to the logistics and eCommerce industry at scale.
- Mentorship from experienced data scientists and engineers.
- Opportunity to publish research internally and externally.
- Work in a collaborative, innovative environment where your work directly impacts business metrics. 🚀
How to Apply
Follow these tips to apply successfully for the Data Scientist I at Swiggy:
- Highlight your ML/DL projects and Python experience.
- Mention experience with big data tools like Spark, SQL, and TensorFlow.
- Include any coursework or personal projects in Ads recommendation, NLP, or Generative AI.
- Demonstrate your problem-solving mindset and ability to implement data-driven solutions.
- Apply by clicking the button below and submitting your resume with a brief cover letter emphasizing relevant skills and projects.
Pro tip: Even if you are a fresher, showcase personal or academic projects that demonstrate your capability to handle ML/DL problems at scale. This makes your application stand out.
The Data Scientist I at Swiggy role is a fantastic opportunity for freshers and early-career professionals to build expertise in ML/DL, data engineering, and AI technologies while contributing to high-impact projects in eCommerce and logistics. If you are passionate about data science and solving real-world problems, this is the perfect role to accelerate your career!
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