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Table of contents
1.
Introduction
2.
About Lenskart
3.
About the Role
4.
Job Expectations and Responsibilities
5.
Skills and Experience Required
6.
Salary and Perks
6.1.
Salary
6.2.
Perks
7.
Preparation Strategy
8.
Career Map
9.
Resources
10.
Frequently Asked Questions
10.1.
What is the difference between a data analyst and a data scientist?
10.2.
What programming languages should we know as data scientists?
10.3.
How many hours do a Data scientist at Lenskart work?
10.4.
Is a data scientist an 'in-demand' profession?
10.5.
Is mathematics compulsory to become a data scientist?
11.
Conclusion
Last Updated: Mar 27, 2024

Data Scientist at Lenskart

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Speaker
Anubhav Sinha
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12 Jun, 2024 @ 01:30 PM

Introduction

Do you also want to be a part of large product-based companies like Lenskart but need a good preparation guide? Now, you have reached the right place. 

data scientist at lenskart

In this article, we will discuss how you can bag the position of Data Scientist at Lenskart. We will provide you with a helpful guide, interview preparation strategy, salaries, perks, etc.

About Lenskart

Lenskart is the largest growing online eyewear chain in India. Peyush Bansal started this company to give India a vision. Prescription eyewear, name-brand contacts, and sunglasses are available at Lenskart and made with the customers' eye power.

Lenskart

Customers of Lenskart India can choose from more than 5,000 frame designs and 45 different types of high-quality lenses. The designs are current with eyewear trends thanks to the internal staff of designers and stylists that stay on top of the newest trends.

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About the Role

A data scientist uses the information to comprehend, explain, and aid decision-making. Data scientists choose the questions their team should pose and determine how to use data to provide answers. For forecasting and reasoning, they frequently create predictive models.

As a Data Scientist at Lenskart, you need strong  Data science skills to focus on Advanced Analytics. Data scientist at Lenkart needs sound knowledge of use cases. The use of advanced analytics for the customer, marketing, and text analytics to help enhance marketing ROI and customer experience is also required. 

Job Expectations and Responsibilities

  • Experience with machine learning frameworks or platforms like Tensorflow, Spark ML, Scikit-Learn, Python, SQL, Redshift, and AWS.
     
  • Ability to recognize patterns in a dataset for optimal solutions.
     
  • Analyze the client base and create a solid customer segmentation framework for a strategic look.
     
  • Ability to create efficient data models.
     
  • Passion for using algorithms, analytics, and technology to solve business challenges.
     
  • Make sure that campaign optimization is done in collaboration with the channel teams.
     
  • Strong project management and communication skills
Job Expectations

Skills and Experience Required

  • You must have a Bachelor's / Master's degree or equivalent with expertise in Advanced Analytics (1-3 years of experience).
     
  • You must have a CS/Statistics background from tier 1 or 2 colleges.
     
  • Two years of live project hands-on experience with Python & SQL 
     
  • Strong foundation in tools like Power BI, Tableau, etc.
     
  • Good understanding of marketing and analytical concepts.
     
  • Strong technical and communication skills

Salary and Perks

The annual salary of a data scientist at Lenskart ranges between 4.5 lakhs to 7 lakhs. The average annual salary lay somewhere around 5.8 lakhs. 

Salary

Average annual salary 5,83,333
Average take-home salary 44,258- 45,360

Perks

  • Insurance
  • Work-life balance
  • Employee support
  • Provident fund
  • Free Food
  • Health care and insurance
  • Childcare
  • Office Trips
  • Office parties
     

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

Preparation Strategy

You must work on the following points to be fully prepared for the role of data scientist at Lenskart.

  • Work on the programming languages like Python or R.
     
  • Have a strong foundation in SQL.
     
  • Know how to create graphs and charts. Work on your data visualizer skill. You can work with data visualizer software like PowerBI, Tableau, and many more.
     
  • Know relevant Machine learning and Big data skills if you are preparing for the data scientist role.
     
  • Lastly, work on your communication skills to have an upper edge during the interview. 

preparation strategy

Career Map

After you start working as a data scientist at Lenskart, you may gain experience and move towards higher job profiles. Below are the job profiles that you may be upgraded to

  • Data Analyst
    If you are new or inexperienced, first, you will be a Data Analyst. It is an entry-level position for a data scientist job profile. Both the profile's roles and responsibilities are almost similar, but you must gain experience to be a data scientist.
     
  • Senior Data Scientist
    After gaining specific experience in the job description, you can advance to the senior data scientist position. As a data scientist, you might head a specific team and offer company expansion plans based on the dataset results.

Resources

Now, let's check out the essential resources that will help you become a data scientist at Lenskart. Go through every mentioned link for a better understanding.

Check out these links for interview questions.

To learn about IT certifications, click the link.

You can check out the coding ninjas library if you believe we have missed a resource.

You can also refer to the following video,

Frequently Asked Questions

What is the difference between a data analyst and a data scientist?

A data analyst examines current data, whereas a data scientist develops new methods of acquiring and analyzing data that analysts may use.

What programming languages should we know as data scientists?

Python, R, and Perl are the three most used languages in data science.

How many hours do a Data scientist at Lenskart work?

Most data scientists at Lenskart work full-time hours 5 days a week.

Is a data scientist an 'in-demand' profession?

Data science, machine learning, and artificial intelligence all help businesses and organizations make more intelligent decisions. As a result, the demand for skilled data scientists and analysts is increasing across sectors.

Is mathematics compulsory to become a data scientist?

You should be able to perform the required mathematical operations to become a data scientist.

Conclusion

In this article, we learned about the role of a Data Scientist at Lenskart. We have also provided the resources so you don't miss your chance to become a data scientist at Lenskart.

To learn more about Lenskart as a company, please refer to the following articles:

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

Happy Learning

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