Considering a career as a Myntra Data Scientist? This comprehensive beginner’s guide will walk you through everything you need to know, from the recruitment off-campus drive process to the required skills, responsibilities and selection process. Discover what it takes to land a rewarding role developing solutions on Myntra industry-leading platforms.
Company Website: www.myntra.com
Job Role: Data Scientist
Qualification: BE / B.Tech / M.Tech / MSc
Batch: 2019 / 2020 / 2021 / 2022 / 2023
Salary: Up to 6 – 8 LPA (Expected)
Job Location: Bengaluru
Last Date: ASAP
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- 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 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.
The Myntra Data Scientist selection process for Graduate Intern off-campus recruitment includes the following stages:
Online Application and Screening
Visit the Myntra Careers page and submit your application for the relevant job role along with your resume. The recruiting team screens all applications and shortlists candidates for the next round.
Shortlisted applicants are invited to complete an online coding challenge or technical assessment to demonstrate relevant skills for the role they have applied for.
Candidates who successfully complete the assessments are scheduled for one or more technical discussions focused on computer science fundamentals, database concepts, system design etc.
Candidates who successfully clear the technical interviews appear for a human resources interview. The HR round evaluates your overall job fitment, strengths-weaknesses, salary expectations and organizational culture alignment.
Candidates who clear all the previous interview rounds are made a final job offer based on interview performance, profile match, and business requirements. The offer letter includes compensation details, job location and joining date.
How to Apply For Myntra
If you are interested in Myntra Careers off-campus recruitment drive, here is the application process to follow:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, please create an account.
- After registration, log in and fill out the application form with all the required details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
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