Data Scientist at LinkedIn

👀Required Qualifications and Skill Set

The candidate applying for this job must have a set of technical and soft skills. Let us first see the qualifications a candidate must have to be eligible to apply as a Data Scientist at LinkedIn-

Qualifications

A candidate must have a Bachelor/Master/PhD degree in Computer Science/ Statistics/ Mathematics/ Engineering. This is the minimum qualification that a candidate must have. Let us now see the preferred qualifications for a Data Scientist at LinkedIn:
 

- It is preferred that the candidate have 1+ years of experience in product analysis or marketing analytics.
 

- A candidate will be preferred if they have 2+ years of experience in dealing with huge amounts of data at an internet-based company.
 

- 2+ years of experience in scripting languages like R or Python, SQL, and Pig will be great for a candidate applying for this position.
 

- LinkedIn prefers candidates with experience with A/B testing.
 

- The candidate should be familiar with background languages such as Scala, Java, and Pig.
 

- The candidate will get a bonus point if they have experience with applied statistics and statistical modeling.
 

Let us now move on to seeing the technical skills a candidate must have if they want to be a Data Scientist at LinkedIn:

Skills

Candidate should have: 

• Strong knowledge of scripting languages such as R or Python.
   
• Knowledge of Machine Learning models.
   
• Deep understanding of Statistics.
   
• Knowledge of Natural Language Processing and Deep Learning.
   
• Should be able to work with database languages such as SQL.
   
• Good understanding of tools used for data visualization such as PowerBi, Tableau, and Excel.
   
• Good understanding of statistical software like Julia, MATLAB, etc.

Now talking about the soft skills, candidates should have excellent communication abilities, including the ability to synthesize, clarify, and explain complicated challenges to various audiences.
 

Does it seems like you have all that it takes to be a Data Scientist at LinkedIn; then check out LinkedIn’s Career Page to apply for the job. Also, if you think you want to know about all the other career opportunities at LinkedIn, then this article is for you. And check out more about some of those opportunities with these articles:

• Internships at LinkedIn
   
• Ways to Join LinkedIn
   
• Systems and Infrastructure Engineer at LinkedIn
   
• Staff Engineer at LinkedIn

💸Salary

The average salary of Data Scientist at Linkedin is between the range of 20-23 lakh per annum.

**The salaries as mentioned above are subject to change.**

🎉Benefits and Perks For the Employees

LinkedIn offers a range of benefits and perks to its employees.

• LinkedIn allows its employees to take paid time off to rest, refuel and recharge.
   
• It provides life insurance to its employees.
   
• It also provides its employees a wide range of premium accounts, LinkedIn learning subscriptions, and discounts on Microsoft products.
   
• It has a week-long shut down at the end of the year.
   
• It provides health insurance for its employees as well as their families.
   
• It has a wellness program that allows the employees to use their onsite gym, fitness classes, and events.

🛣️Career Roadmap For The Job

The role above Data Scientist is Staff Data Scientist. To be a Staff Data Scientist, you must have at least 5+ years of experience in the domain. They assist senior executives in prioritizing/scoping projects, making suggestions, and evangelizing data-driven business choices in support of strategic goals. 

A Staff Data Scientist can be promoted to the post of Senior Staff Data Scientist. They generally have a minimum of 10 years of experience. They act as primary domain experts in the firm. Senior Staff Data Scientists provide mentorship to the junior members. 

🤜🤛Data Scientist Preparation Strategy

Let us now set up a roadmap to prepare for your technical rounds and interviews. For a detailed preparation guide to joining LinkedIn, check out the Preparation Guide. 

There is generally one telephone interview followed by 2-3 interview rounds, including technical and HR rounds.

• You should have a strong knowledge of SQL. The telephone interview will mainly focus on your understanding of SQL.
   
• Prepare machine learning topics thoroughly.
   
• You must understand how to apply statistical techniques to what type of data.
   
• Have strong coding skills in R or Python.
   
• Knowledge of DSA is also recommended.
   
• Know everything about your projects. Build at least 1-2 projects to highlight your analytical and statistical skills.
   

Check out our articles on Ways to Join LinkedIn and Internship Opportunities at LinkedIn to find your way to LinkedIn. To help you better prepare for this role, here's a curated list of articles that you must give a read:
 

• Python.
   
• Skills Required to become a data scientist.
   
• Projects for Data Science Beginners.
   
• Must-know python libraries for Data Scientists.
   
• Books for aspiring Data Scientists.
   
• Difference between Big Data and Data Science.
   
• IT Certifications.
   
• Interview Questions For all the Topics.

There's a Youtube video attached below that will guide you in preparing a roadmap to become a data scientist-

Frequently asked questions

What is the work of a Data Scientist?

A data scientist examines raw data and pulls meaningful meaning from it. They then utilize this data to identify trends and provide solutions.

How many rounds of interviews are there for a Data Scientists role at LinkedIn?

The telephone interview will be the first technical interview round, and then around 2-3 more interview rounds are conducted before hiring the candidate.

Can a fresher join as a Data Scientist at LinkedIn?

Yes, a fresher can apply for the role, but 2 or 3 years of experience is preferred for the role.

What are the tools a Data Scientist must be good at?

A data scientist must be good with data visualization tools such as MATLAB, Power Bi, and Excel.

Conclusion

This article was an insight into who a Data Scientist is and how we can become Data Scientists at LinkedIn. We also saw the job expectations for a Data Scientist and the skills required to become the same. Check out the below list of resources to guide you through your tech journey.
 

• Basics of Python
   
• Machine Learning Course
   
• Data Science Course
   
• Coding mock tests
   
• Data scientist interview questions

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

Happy Learning!