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Table of contents
About the Role 👨🏻‍💻
Salary and Perks💰
Skills and Experience Required🦾
Preparation Strategy⚡
Hiring Rounds👨‍💼
Coding Round👨‍💻
Technical Interview I👩‍💼
HR Interview 🧑‍🏫
Career Path of a Data Scientist🎓
Data Analyst
Data Scientist(Entry Level)
Data Scientist(Senior Level)
Lead Data Scientist
Resources For Preparation🧑🏻‍💻
Interview Resources
Coding Resources
Aptitude Resources
Other Resources
Frequently Asked Questions
What is Flipkart?
What does a data analyst do?
How will the selection process for Flipkart recruitment take place?
What are the perks of working at Flipkart?
Who can apply for Flipkart?
Last Updated: Mar 27, 2024

Data Scientist at Flipkart

Crack Google SDE interview : Essential projects
Saurav Prateek
SDE-2 @
20 Jun, 2024 @ 01:30 PM


Do you want a job as a data scientist at Flipkart? Lucky you🙌, you are at the right place😎.

The largest e-commerce platform in India is Flipkart, which boasts more than 150 million registered users. They now provide over 100 million products in over 120 categories, including cellphones, books, media, consumer electronics, furniture, fashion, and lifestyle items, ten years after their debut.

Debuted in October 2007, Flipkart is renowned for providing ground-breaking options including Cash-on-Delivery, No-Cost EMI, and a 10-day return policy. With over 1,20,000 registered sellers, Flipkart has completely changed how businesses, especially MSMEs, conduct online transactions.

Data Scientist At flipkart OG image

Out of the various opportunities that Flipkart provides, this article mainly focuses on the role of a data scientist at Flipkart. 💫

Are you ready❓

About the Role 👨🏻‍💻


In their daily operations, businesses are employing an expanding amount of data. A data scientist interprets unprocessed data and draws meaningful conclusions from it. They then utilize this data to identify trends and create the strategies that a company requires to advance and remain competitive.

Finding information from diverse sources and evaluating it are tasks included in the data scientist job description to gain a comprehensive picture of how a business functions. The scientist combines statistical, analytic, and AI technologies to automate specific organizational procedures and provide clever responses to business difficulties. After interpreting the data, they convey the findings in an understandable and engaging manner. The goal is to assist the company in trend analysis to make better decisions. A  data scientist at Flipkart must possess superior technical, analytical, and communication abilities.

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Key Responsibilities
The  Data Scientist at Flipkart has the following responsibilities -

  • Must possess a high level of proficiency in DBMS and DB structures.
  • Exceptionally proficient in powerbi and excel.
  • Will be in charge of gathering, managing, and reporting data for training batches at over 13 sites inside and outside the company.
  • Stakeholders should receive actionable insights from data analysis.
  • To and from Outsourced Partners and within/outside L&D Teams, the ability to coordinate and convey data requirements is required.
  • Should be vigilant in spotting abnormalities and data items that distort data sets and aggressive in alerting others to them.
  • Will be in charge of ensuring that all stakeholders have access to accurate data and reports.
  • Should be able to get raw data and create dashboards and views that are consumable to decision-makers and stakeholders.
  • Be proactive in streamlining existing recording systems so that the partner training team can use them more easily.
  • The capacity to experiment with alternative analytical approaches to problem-solving
  • Create roadmaps for metrics improvement using insights. Nonessential tools for achieving goals

Now let us see the salary and perks of a data scientist at Flipkart💸.

Salary and Perks💰

Salary And Perks
Table 1

**The salary figures mentioned above are subject to change.


Employee Benefits

Insurance, Health & Wellness

  • Health care & insurance
  • Life insurance
  • Disability insurance
  • Vision insurance

Financial & Retirement

  • Performance bonus
  • Stock options or equity

Family & Parenting

  • Maternity & paternity leave
  • Unpaid extended leave
  • Childcare
  • Reduced or flexible hours
  • Work from home

Vacation & Time Off

  • Vacation & paid time off
  • Bereavement leave
  • Sick leave

Perks & Benefits

  • Free lunch or snacks
  • Gym membership
  • Employee assistance program
  • Employee discount

Professional Support

  • Job training & tuition
  • Diversity program
  • Apprenticeship program

Skills and Experience Required🦾

Skill and experience required

Key competencies for a data scientist at Flipkart include-

  • Well-skilled in DBMS and database structures
  • Highly proficient in powerbi and excel; will be in charge of gathering, managing, and reporting data for training batches taking place across 13+ locations PAN Programming Skills: It would be ideal to have an understanding of SQLHive, and Pig as well as statistical programming languages like R and Python and database query languages like Hive. Knowledge of ScalaJava, or C++ is advantageous.
  • A strong understanding of statistical tests, distributions, regression, maximum likelihood estimators, and other applicable statistical concepts is required in statistics. For businesses that rely on data, statistical expertise is crucial.
  • Knowledgeable about machine learning techniques such as k-Nearest Neighbors

Naive BayesSVM, and Decision Forests.

  • Strong math skills (multivariable calculus and linear algebra) - Multivariable calculus and linear algebra are the building blocks for predictive performance or algorithm optimization strategies, so it's crucial to understand their principles.
  • Data Wrangling is vital to a data scientist's job description because it requires expertise in resolving data flaws.
  • Knowledge of data visualization software, such as Matplotlib, ggplot, d3.js, and tableau, that aids in the visual encoding of data
  • Outstanding Communication Skills: It is crucial to explain findings to technical and non-technical audiences
  • Strong background in software engineering Practical expertise with data science tools
  • Possibility of solving issues
  • Excellent business sense and an analytical mind
  • It is preferable to have a degree in computer science, engineering, or a related field
  • Proven Background as a data scientist or analyst

Preparation Strategy⚡

You must set aside time to learn Data Science, improve your abilities, look for work, and get ready for interviews if you want to pursue employment as data scientist. All the abilities we covered here may be learned very effectively through Simplilearn's Data Science Certification Courses.

  • Take into account these as you begin your data scientist profession.
  • Be patient; it may take a few applications before you land a position. Develop your business, programming, and data analytics skills.
  • Be ready to respond to questions in a  Data science interview regarding your behavior in various workplace scenarios. Keep in mind that employers are more interested in your problem-solving skills and approach to particular situations than your technical knowledge.
  • Think about obtaining a certificate in business analytics or data science.
  • Make a portfolio to display some of your projects.

Hiring Rounds👨‍💼

The on-campus hiring process consists of four rounds-

Coding Round👨‍💻

The coding round happens on Hackerrank, where three questions are given, mainly testing the implementation part of data structures

Technical Interview I👩‍💼

This round may begin with discussing the projects listed on your résumé and your prior experience with the online assessment.

After that, the interviewer can quiz you on various data structures, and the interviewer might even ask you to write your strategy for approaching the solution.

You can also be asked a few basic and scenario-based CS questions during this phase.

During this interview round, the interviewer will typically question you about your current projects and prior experiences, such as any internships you have listed on your CV.

In this round, they will also examine your proficiency with CS principles.

You might also be quizzed on data structures and algorithms along with some OOPS principles.

The interviewer may also ask about your willingness to work for this organization and the work culture at Flipkart.

HR Interview 🧑‍🏫

You will be questioned broadly in this round, including things like

  • Introduce yourself.
  • Discussion on the projects.
  • Your strengths and weaknesses.
  • How do you respond to setbacks?
  • Flipkart’s different policies.

Along with these, you can anticipate specific situation-based questions, inquiries into the principles of computer science, inquiries into system design (only low-level design inquiries for freshers), and inquiries into the logic of several DSA Questions.

The off-campus hiring process consists of four rounds-

  • Application Submission- Interested candidates can submit their application for a specific job role on the official Flipkart website, which is then processed by the managers and recruiters who shortlist them based on the skill set fit for that role.
  • Technical screening round - Before calling you for an on-site interview, there may be a technical phone screen round, depending on your applied position. This will help them determine your qualifications for the job and your strengths and shortcomings.
  • Onsite Interviews- Your recruiter will contact you and explain how many rounds you will need to complete for the on-site interview. All answers to your inquiries about the procedure can be cleared with the interviewer.

Career Path of a Data Scientist🎓

Career Path of a research analyst

Data science is currently thought to be one of the most lucrative careers. Businesses across all major industries and sectors want the help of data scientists to help them extract valuable information from massive amounts of data. There is a growing need for highly skilled data science professionals operating in both the commercial and IT realms.

Data science is a relatively young field; thus there is no clear professional path to follow. Data science eventually employs people with backgrounds in economics, computer science, statistics, mathematics, and other disciplines.

Numerous options are available in the field of data science. Due to the interdisciplinary nature of data science, there are multiple avenues for exposure and exit.

The following are the most common titles for data science professionals-

Data Analyst

To find the solution to a problem or provide an answer to a question, a Data Analyst gathers, purifies, and analyses data sets. They work in various fields, including business, finance, law enforcement, and science.

Data Scientist(Entry Level)

A beginning data scientist examines, deciphers, and gathers massive amounts of data. Your duties in this position will entail data extraction and processing to identify patterns and trends, data analysis using technology, and developing a machine-learning algorithm or prediction model.

Data Scientist(Senior Level)

Senior data scientists utilize data to influence how businesses grow. Given the project's scope, senior data scientists oversee and use the work of junior employees as they lead different data-driven projects.

Lead Data Scientist

The lead data scientist leads the data science team, organizes projects, and develops analytics models using various sources and vast amounts of data.

In addition to using cutting-edge machine learning, natural language processing, and mathematical methodologies to build potent sciences, they are in charge of guiding the creation of analytics-focused goods.

Resources For Preparation🧑🏻‍💻


Here are the resources to help you prepare for your recruitment exam and interview.

Interview Resources

Coding Resources

Aptitude Resources

Other Resources


You should also refer to the above video Perfect Mindset That Helped Me Crack Flipkart for getting insight into the right mindset for becoming a data scientist at Flipkart.

You can also check out Data Analyst vs Data Scientist here.

Frequently Asked Questions

What is Flipkart?

The e-commerce business Flipkart was established in 2007 by Sachin and Binny Bansal. The business owns and runs an online storefront in India. The Singapore-based online retailer Flipkart has recently debuted its own product line, "DigiFlip," which features items like tablets, USBs, and laptop bags.

What does a data analyst do?

A data analyst examines data to find significant customer insights and potential uses for the information. They also advise the company's management and other stakeholders of this information.

How will the selection process for Flipkart recruitment take place?

The Flipkart hiring process includes four phases. Coding round, a technical interview I, technical interview II, and HR interview.

What are the perks of working at Flipkart?

Employees get holiday gifts, paid parental leave policy, access to various complementary learning and upskilling programs, and many more.

Who can apply for Flipkart?

Anyone with a graduate or a postgraduate degree from IT/ CSE/ ECE or MCA or M.Tech without any backlogs and 65% in the above-mentioned courses may apply for Flipkart.


This article explored various things related to the data scientist at Flipkart, leaving no stone unturned. We explored the roles and responsibilities, salary and perks, skills and experience required for the position, and preparation strategy to become a data scientist at Flipkart.

We believe this article on the data scientist at Flipkart was helpful. To learn more about Flipkart, check out our articles on-

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

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