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About Company :
Myntra Hiring Data Scientist 2025 : Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency.
The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers.
Job Description :
- Expiration date: March 20, 2025
- Location: India
- Job Title: Data Scientist
- Salary: 10 LPA
We are looking to hire a highly creative data scientist to address data analytics challenges in our organization, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges and communicate with interested parties.
Data scientists analyze raw data by using statistical and mathematical techniques, and computing. This may include filtering and processing data to reach meaningful interpretations and conclusions, and creating solutions.[Myntra Hiring Data Scientist 2025]
Roles and Responsibilities:
- Responsible for developing data science and machine learning models for Myntra Storefront, Supply Chain and other areas
- Conversant with machine learning life cycles, model deployments etc.
- Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, and Optimisation.
- Collaborating with Product and Business to formulate the problem into a Machine Learning model.
- Connecting with Platforms and Engineering teams to make sure the predictive models built are deployed and integrated into the systems.
- Working with the Data Platforms teams for understanding and collecting the data.[Myntra Hiring Data Scientist 2025]
Preferred Qualifications:
- Knowledge on data structures, algorithms and efficient processing of large datasets
- Well-versed with Python or equivalent programming language.
- People with MTech, MS by Research or PhD in Computer Science/Electrical Engineering, or post graduate degree in Statistics, Operations Research, or Mathematics are preferred.
- Having authored publications is plus
- Good to have skills in general Machine Learning and Deep Learning such as
- Natural Language Processing (NLP): Skills in NLP to develop models that understand and generate human language.
- Computer Vision: Knowledge of computer vision techniques to interpret images and videos, including object identification and classification.
- DevOps: Familiarity with DevOps principles and practices for deploying and managing machine learning models in production environments.
- LLM and GenAI Models: Understanding of Large Language Models (LLM) and Other Generative AI (GenAI) models, including prompt engineering, model evaluation, optimization, and deployment.
- Domain Knowledge: Expertise in a specific industry or field, enabling better understanding of data and business needs.
- Ethical Data Science: Awareness of ethical considerations in data science, including privacy, bias, and fairness.
- Collaboration: Strong communication and teamwork skills for effective collaboration with cross-functional teams, including engineers, product managers, and designers.[Myntra Hiring Data Scientist 2025]
Technology Behind Myntra:
1. AI & Machine Learning (ML) in Myntra
- Personalized Recommendations: Uses AI to analyze user behavior and suggest relevant fashion items.
- Visual Search: Customers can upload images to find similar products.
- Chatbots & Virtual Assistants: AI-powered support for customer queries and order tracking.
2. Augmented Reality (AR) & Virtual Try-On
- Virtual Try-On for Makeup & Accessories: Customers can see how products look before purchasing.
- 3D Product Visualization: Enhances the shopping experience by showing realistic views of products.
3. Data Analytics & Big Data
- Demand Forecasting: Predicts trends and optimizes inventory using data analytics.
- User Behavior Analysis: Studies customer preferences to improve shopping experiences.
4. Cloud Computing & Scalable Infrastructure
- AWS & Google Cloud: Myntra uses cloud platforms for scalability and efficiency.
- CDN & Load Balancing: Ensures fast website & app performance, even during high-traffic sales.
5. Blockchain for Supply Chain Transparency
- Helps track product authenticity and ensures secure transactions.
6. IoT & Smart Warehousing
- Automated Inventory Management: Uses IoT to track stock levels in real time.
- Robotics & Automation: Enhances packaging and delivery efficiency.
7. Mobile App & Progressive Web Apps (PWAs)
- Native App Experience: Optimized for Android & iOS with AI-powered features.
- PWAs for Faster Browsing: Provides a seamless shopping experience with reduced data usage.
8. Myntra’s AI-Driven Fashion Design – Moda.ai
- AI-powered fashion designing tool that creates trendy outfits based on customer preferences.
Joining Myntra offers an exciting opportunity to work on cutting-edge technology including GenAI (LLMs, stable diffusion etc) and be part of our journey in shaping the future of ecommerce with advanced AI solutions [Myntra Hiring Data Scientist 2025]
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