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Summary: Explore the global salary trends for LinkedIn Data Scientists. In the US, salaries average $145,000 annually, whereas in India, they are around $145,000. Experience and location significantly influence earning potential.
Introduction
Today, we will examine the LinkedIn Data Scientist Salary and find out what someone in this role can make if they work at a company with offices in multiple countries. We had to consult several different sources to find this information.
LinkedIn is one of the leading professional networks on the Internet, with over 300 million members. It is a great place to find new job opportunities and connect with colleagues. The site also features several tools that can help with job-hunting efforts.
Data Science is one of LinkedIn’s tools, and it can be used to perform various tasks. A LinkedIn Data Scientist is a professional skilled in working with different types of data and using that data to improve the performance of multiple programs.
LinkedIn Average Data Scientist Salary
According to a survey conducted by Glassdoor.com, the average salary of a LinkedIn Data Scientist in 2017 was $135,000 a year. In India, this increased to just over $145,000 per year; in the United Kingdom, it fell to around $125,000 per year.
These figures were based on salaries for LinkedIn Data Scientists working at companies with offices in several countries and a wide range of other industries.
Data scientists in India are generally paid less than their counterparts in other countries, but this is mainly because of the country’s standard of living. The cost of living in India is significantly lower than in most other countries, and it is common for people there to have very little disposable income each month.
As a result, many businesses prefer to hire data scientists from countries with a higher standard of living and pay higher wages.
Comparison to Other LinkedIn Data Science Jobs in the World
The average data scientist’s salary in the US is $145,000; in Spain, it is approximately $118,000; and in Germany, it is about $109,000. As you can see, these salary levels vary significantly from country to country and vary considerably within one country depending on factors such as the cost of living in a particular area.
In the US, salary levels also vary based on location. Cities like Seattle, Boston, and New York tend to have higher salaries than other areas due to their large job market and the availability of jobs in these cities.
This is significantly higher than the average for all occupations in the country, just $54,481 in the same year.
We found that the median annual pay of a LinkedIn Data Scientist in France was about €93,000, which is significantly less than the average salary in the United States.
On the other hand, we found that the median annual pay of a LinkedIn Data Scientist in the UK was around £50,000 per year, which is slightly lower than the average in the United States.
This shows how the amount someone can earn for this role can vary quite significantly depending on where they live.
According to Payscale.com, the average salary of a LinkedIn Data Scientist in Australia was AU$95,489 per year in 2019. This is significantly lower than the average salary across all industries in the country, which was AU$ 82,112 in the same year.
That said, this is still a substantial amount of money, and if you work for a reputable company, it can help you live a comfortable lifestyle.
Read More: Top 5 Data Science Case Studies
LinkedIn Senior Data Scientist Salary in India
LinkedIn Senior Data Scientist Salaries in India range from Rs. 20 to 25 Lakhs annually. The average salary for a LinkedIn Data Scientist in the US is about $144,000 per year, which puts them in the top 15% of all professions in the country regarding annual income.
In contrast, the typical yearly salary for someone in India is about $4,500, meaning they fall into the low-income bracket.
LinkedIn Data Analyst Salary in India
The salary of a Data Analyst in India is around Rs. 10 lakhs to 30 lakhs per annum. According to LinkedIn, the salary of a Data Analyst in India is Rs. 3.5 lakhs to 8 Lakhs per annum.
This is a significant sum of money; if you are a senior data analyst with a good level of experience, then you can earn even more. The US average salary for a data analyst is $107,040 per year. In India, it is around $2,600 per year.
As you can see, there is a huge difference in the amount of money you earn based on where you work.
LinkedIn Data Engineer Salary in India
The average LinkedIn Data Engineer Salary in India is Rs. 6 lakhs to 18 lakhs per annum, while the Salary in the US is around $114,000.
The earning potential of a data engineer can vary quite a bit depending on where you work in the world. In India, a Data Engineer at LinkedIn can expect to earn $6,800 per year, significantly less than someone earns for the same job in the US.
Typical Experience Levels: 0 – 1 year: A minimum average starting salary for an entry-level position is $60,000 – $70,000.
LinkedIn Data Scientist Interview
One factor that plays a big part in how much a person can earn in this field is their experience level. The higher your experience, the higher your earning potential will be. LinkedIn has many opportunities for people who want to have a data science career.
Interviews with data scientists on LinkedIn are very rigorous and challenging, and a successful candidate should present a solid case of how they will add value to the company’s operations.
Data Scientist At LinkedIn Interview: Guidelines
The primary objective of an Interviewing Manager is to gain insight into the candidate’s competencies and other behavioural traits, such as leadership quality and interpersonal skills. An interview process also enables a company to assess the skills and potential of the candidate for future job roles.
Therefore, candidates must take adequate time to prepare for the interview and present themselves best. The following tips will help candidates successfully ace an interview for the role of data scientist at LinkedIn:
- Define your aims in the Data Science space. Are you trying to get into a field where the pay is low, and the competition is high? Or are you looking to get into this field to make a quick buck and become wealthy quickly?
- Your aim should be to find a job that is challenging and exciting and one that provides you with a good work environment.
- Know your skill, knowledge, and experience levels in detail and tailor your CV accordingly to highlight your suitability for the job role. You will likely not get hired for the job if your resume contains spelling or grammatical mistakes.
- Ability to identify and correct faults within the database systems and programming code before launching into the live environment.
- The ability to devise strategies to detect and identify fraudulent activities in the system and prevent them from happening in the future.
- The ability to find solutions to technical problems based on the requirements outlined in the design documents.
- To apply knowledge of data processing techniques, statistical analysis tools, and programming languages to analyse large volumes of data and help solve problems for the business.
Best LinkedIn Summary for Data Scientists
To excel in technical roles, you must have a clear and concise resume showcasing your field expertise and passion and excitement for the role you are applying for. Here are some things to keep in mind when preparing your summary for a role as a data scientist at LinkedIn:
Professional Experience
Provide a brief description of the roles you have held in the past, including the names of companies you have worked for and the dates you were employed.
- The skills and experiences you have gained while employed at these companies and how they relate to the job role you are applying for.
- Any additional skills relevant to the role you are applying for, such as project management skills or experience with specific software.
- Show how your experiences have prepared you to take on the role of a data scientist at LinkedIn. Focus on skills you have developed that will help make you a successful candidate, such as Data Analysis Tools Skills and SQL experience.
Read More: Tableau Developer Salary in India
Education
Mention your qualifications and any courses you have completed that are relevant to the role you are applying for. Include the name of the institution where you studied and the year you completed your courses.
- Mention any training courses that you have taken that will help you carry out your job duties effectively, such as machine learning and data science courses.
- List any relevant qualifications you possess, such as a bachelor’s degree in information technology or a master’s degree in computer science.
- Focus on the skills that you gained from your education that will help make you a compelling candidate, such as computer programming skills or knowledge of SQL.
Skills
In this section, provide details of the technical skills you have acquired, including programming languages you know and any specialised skills unique to the job role you are applying for.
- If you are applying for a role as an entry-level data scientist, highlight your knowledge of the Python programming language and demonstrate an understanding of the different concepts related to Big Data.
Frequently Asked Questions
What is the average salary of a LinkedIn Data Scientist?
The average salary for a LinkedIn Data Scientist is $145,000 annually in the US. Due to the lower cost of living in India, it averages around $145,000. In the UK, it’s about $125,000. Salaries can vary significantly based on location, company, and industry.
How does experience affect a LinkedIn Data Scientist’s salary?
The experience greatly impacts a LinkedIn Data Scientist’s salary. Entry-level positions typically offer $60,000–$70,000 annually. With increased experience, especially in senior roles, salaries can rise significantly, reaching up to $144,000 in the US. More experienced professionals often earn higher due to their expertise and skills.
What are the key factors influencing LinkedIn Data Scientist salaries globally?
Key factors influencing LinkedIn Data Scientist salaries include location, cost of living, and local job market demand. For instance, wages are higher in the US and UK due to higher living costs, while in India, they are lower due to a lower standard of living.
Final Thoughts!
Concluding the post, reiterate your skills and why you will be a great asset to the organisation as a data scientist. You aim to show that you can work in a team environment and that the organisation’s culture is conducive to success.
Your salary as a data scientist would be based on your experience in this field and your knowledge of the subject.
Authors
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Written by:
Asmita KarReviewed by:
