Data Scientist
MyntraIndia4 days ago
Full-timeEngineering, Information Technology
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About The Company
Who are we?
Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary.
We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit.
Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
About Team
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.
Roles and Responsibilities
Required Skills
machine learning, recommender system, Computer vision, Pyspark
Required Education
B.Tech
Who are we?
Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary.
We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit.
Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
About Team
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.
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.
- Knowledge on data structures, algorithms and efficient processing of large datasets
- Well-versed with Python or equivalent programming language.
- People with Btech, MTech, MS by Research 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.
Required Skills
machine learning, recommender system, Computer vision, Pyspark
Required Education
B.Tech
Key Skills
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