Myntra, a prominent name in the e-commerce industry, is currently seeking a Data Scientist to join their dynamic team in Bengaluru. The ideal candidate for this role is expected to have a strong educational background, with qualifications such as an MTech, MS by Research, or PhD in Computer Science or Electrical Engineering, while postgraduate degrees in Statistics, Operations Research, or Mathematics are also highly preferred. The job demands expertise in data structures, algorithms, and efficient processing of large datasets, coupled with proficiency in programming languages like Python or their equivalents.
Company Name: Myntra
Job Role: Data Scientist
Education Required: M.Tech, MS, PhD or PG.
Job Location: Bengaluru
Job Role 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.
Required Qualifications & Experience:
- 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.