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Position: Data Scientist
Location: Bengaluru, Karnataka
Role Overview
Myntra is hiring for Data Scientist were they provides a excellent opportunity to work on best technology that includes GenAI(LLMs, stable diffusion etc) and be part of their journey in shaping the future of ecommerce with advanced AI solutions.Join Myntra’s Data Science team and work on generative AI (LLMs, stable diffusion, etc.) to shape the future of online shopping. This is your chance to build AI solutions that impact millions of fashion enthusiasts!
What You’ll Do:
✔ Build & deploy GenAI models (LLMs, diffusion models, etc.) to enhance customer experience
✔ Solve complex e-commerce challenges—personalization, recommendations, visual search, and more
✔ Work with massive datasets to extract insights and drive business decisions
✔ Collaborate with engineers and product teams to scale AI solutions
About Team
The Myntra Data Science team helps to improve businesses, customer experience and increase revenue by providing data science solutions. By using these method we can use different models with large datasets. By using machine learning algorithms, the team publishers reviewed academic publications. This opportunity provides exposure to a full e-commerce platform.
Want to transform fashion e-commerce with data science?
Join Myntra’s Data Science team and build AI/ML solutions that:
✔ Boost business growth through predictive analytics
✔ Enhance customer experience with smart recommendations
✔ Drive revenue via data-powered decision making
What You’ll Work On:
• Developing machine learning models at scale (personalization, pricing, inventory, etc.)
• Implementing cutting-edge algorithms from research to production
• Analyzing massive e-commerce datasets to uncover insights
• Publishing innovative work (we contribute to academic research!)
Tech You’ll Use:
▸ Python, PySpark, TensorFlow/PyTorch
▸ Big Data tools (Hadoop, Spark, etc.)
▸ Cloud platforms (AWS/GCP)
Key Responsibilities
- Understanding of developing data science and machine learning models for Myntra Storefront, Supply chain and other areas.
- Familiar with machine learning life cycles, model deployments etc.
- Theoretical knowledge and hand-on practice of machine learning and good in one or more topics such as NLP, Computer Vision and Optimisation.
- Good in collaborating with product and business to solve the problem into a Machine Learning model.
- Ability to work with the Data Platforms teams for understanding and collecting the data.
- Develop data science solutions for Myntra’s Storefront, Supply Chain, Pricing, and other key areas
- Take models from research to production—working on the full ML lifecycle (exploration, training, evaluation, deployment).
- Partner with Product & Business teams to translate problems into ML solutions.
- Work with Data Engineers to build scalable data pipelines.
- Communicate insights clearly to non-technical stakeholders.
- Extract, analyze, and transform large-scale e-commerce datasets.
- Leverage Big Data tools (Spark, Hadoop, SQL) and cloud platforms (AWS/GCP).
- Strong grasp of machine learning fundamentals (supervised/unsupervised learning, deep learning, etc.).
Qualifications
- MTech/MS (Research) in Computer Science, Electrical Engineering.
- Postgraduates in Statistics, Operations Research, or Mathematics.
- PhD in relevant technical fields.
- Freshers can also Apply here
Skills
- Data Structures, Algorithms and efficient processing of large datasets.
- Python and any other similar languages.
- Understanding of Deep Learning.
- Familiar with Computer Vision and DevOps.
- Domain Knowledge is required.
- Good in Communication and Teamwork Skills.
How to Apply?
Apply Now to join Myntra for Data Scientist and get opportunity to work on cutting-edge technology such as GenAI(LLMs and Stable Diffusion) and become a part of shaping the future of ecommerce with advanced AI solutions.
Selection Process:
Resume Shortlisting: verification of background and project experience.
Technical Assessment: coding test will be there.
Interview Rounds: After passing the technical exam interview round will be conducted.
Offer Letter: If anyone will pass all these steps then they will get offer letter in hand.
Perks & Benefits:
Competitive salary & benefits
Flexible work options
Dynamic, innovative culture
Career growth opportunities
They are Looking For Someone Who:
✔ Can bridge theory and practice in ML
✔ Thrives in fast-paced, collaborative environments
✔ Is excited about solving real e-commerce challenges
About us:
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