Myntra Hiring Data Scientists with No Experience Required Salaries up to 8 LPA!

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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.

About Myntra

Myntra is a major Indian fashion e-commerce company headquartered in Bengaluru, Karnataka, India. The company was founded in 2007-2008 to sell personalized gift items. In May 2014, was acquired by Flipkart. Wikipedia

Myntra Recruitment

Company Website:

Job Role: Data Scientist

Qualification: BE / B.Tech / M.Tech / MSc

Experience: Freshers

Batch: 2019 / 2020 / 2021 / 2022 / 2023

Salary: Up to 6 – 8 LPA (Expected)

Job Location:  Bengaluru

Last Date: ASAP

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Job Description

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 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.

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Skills Required

  • 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
  1. Natural Language Processing (NLP): Skills in NLP to develop models that understand and generate human language.
  2. Computer Vision: Knowledge of computer vision techniques to interpret images and videos, including object identification and classification.
  3. DevOps: Familiarity with DevOps principles and practices for deploying and managing machine learning models in production environments
  4. 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.

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Selection Process

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.

Online Assessment

Shortlisted applicants are invited to complete an online coding challenge or technical assessment to demonstrate relevant skills for the role they have applied for.

Technical Interviews

Candidates who successfully complete the assessments are scheduled for one or more technical discussions focused on computer science fundamentals, database concepts, system design etc.

HR Interview

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.

Final Selection

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.

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How to Apply For Myntra

If you are interested in Myntra Careers off-campus recruitment drive, here is the application process to follow:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, please create an account.
  4. After registration, log in and fill out the application form with all the required details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

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