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Find out the Data Scientist Salary for entry-level data scientist

Manzurul Haque
Posted
October 23, 2022
Last updated
November 26, 2022
While you are about to start your career or thinking to aim data science job field as a career, it could be confusing to state the salary you should bargain for. This guide will help you to get the information on that in detail.

Data Scientist Salary depends on if you're thinking about a career as a Data Scientist and are eager to learn more about where your skills will take you, but not sure where to start, this article is the answer! Along with salary information from various industry insiders, it discusses the value of having skills that go beyond those typically required for Data Science.

Much has changed in the information market, and Data Scientists are now an integral part of any company that needs to optimize its data-driven effort. Read on for insights into what the typical data scientist salary is and how much a data scientist can make by experience level, career duration, and education.

Businesses are quickly realizing the importance of data in today's competitive world and they are willing to pay for it. The difference between an amateurish analysis versus authoritative results is a high-end salary with mobility, prestige, and bonuses.

data scientist salary
Data Scientist Salary

Job and Role-Based Data Scientist Salary

The role of a data scientist is to collect, process, and analyze data to generate insights that can inform decision-making. Data scientists may work in various industries, including healthcare, finance, and retail. They may also work in various roles, such as research scientists, business analysts, or software engineers.

Data scientists typically have a strong background in mathematics and computer science. They also have experience with statistical analysis and machine learning. In addition, they possess strong communication skills and are able to effectively communicate their findings to others. The median Data Scientist salary is $110,000 per year. The salary range for data scientists varies depending on experience and location.

Entry-Level Data Scientist Salary

The average Data Scientist salary is $113,436. Entry-level Data Scientists make an average of $95,000. The highest-paid Data Scientists make an average of $145,000.

Data Scientists with 1-2 years of experience make an average of $105,000. Data Scientists with 3-5 years of experience make an average of $120,000. Data Scientists with 6-8 years of experience make an average of $135,000. The highest-paid Data Scientists have 9-11 years of experience and make an average of $155,000.

Pay Scales by Years of Experience

The average salary for a data scientist with 0-2 years of experience is $95,000. The average salary for a data scientist with 3-5 years of experience is $120,000. The average salary for a data scientist with 6-8 years of experience is $145,000. The average salary for a data scientist with 9-11 years of experience is $170,000. The average salary for a data scientist with 12+ years of experience is $195,000.

In order to determine how much experience you need to earn a certain salary as a data scientist, we consulted with real-life data scientists to find out. Here’s what they had to say:

As a data scientist, your pay is directly related to your experience. The more experience you have, the higher your salary will be. Entry-level data scientists can expect to make $60,000-$80,000 per year. With 2-4 years of experience, data scientists can expect to make $80,000-$120,000 per year. After 5-9 years of experience, data scientists can expect to make $120,000-$200,000 per year. 10+ years of experience as a data scientist can get you a salary of $200,000 or more per year.

Skills Necessary for a Data Scientist

Data scientists require a wide range of skills in order to be successful. There are a number of skills necessary for a data scientist. They need strong analytical and mathematical abilities in order to understand and work with data.

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Firstly, they must have strong mathematical and statistical skills. They need to be able to understand and work with complex data sets. Also, they need to be expert computer programmers, as they will spend a lot of time working with code.

Secondly, they must be expert programmers. They should be able to write code to clean, manipulate and visualize data in industrial standards.

Thirdly, they must have strong communication skills. They should be able to clearly explain their findings to non-technical staff and clients.

You need to have excellent communication skills, as you will often need to present your findings to clients or company decision-makers. Finally, they need to be able to think creatively, as they may need to come up with new ways to solve problems or find trends in data. Also, it will be great if they have some experience and clear basic knowledge about machine learning algorithms and techniques.

The Highest Salary Paid to a Data Scientist

Data scientists are some of the highest-paid employees in the tech industry. The average data scientist salary is $130,000, according to Glassdoor. But that's just an average - the highest-paid data scientists can make well over $200,000.

So what does it take to be one of the highest-paid data scientists? It helps to have a few years of experience under your belt. The majority of high-paying data science jobs require at least three years of experience. And it doesn't hurt to have a Ph.D. or Master's degree in a related field, like computer science or statistics.

If you're just starting out in your data scientist career, don't fret - there's still plenty of time to climb the salary ladder. entry-level data scientist jobs pay an average of $95,000, according to Glassdoor. So keep learning and honing your skills, and you could be on your way to a six-figure salary in no time.

A data scientist is a professional responsible for analyzing data and providing insights to help businesses make better decisions. A data scientist salary can vary depending on their experience, location, and the industry they work in.

The highest salary paid to a data scientist was $220,000, according to Glassdoor. This salary was for a senior data scientist with over 10 years of experience working in the United States. The lowest salary paid to a data analyst was $60,000, which was for an entry-level position in India.

Data scientists in the United States can expect to earn an average salary of $122,840 per year, according to Payscale.com. Salaries will vary depending on experience, with entry-level positions starting at around $85,000 and senior positions earning upwards of $145,000.The location also plays a role in earnings potential, with cities like New York and San Francisco offering higher salaries than other parts of the country.

The industry you work in will also affect your earnings as a data scientist. Data scientists working in the financial sector tend to earn more than those working in other industries because of the sensitive nature of the information they deal with on a daily basis.

How Location Affects Data Scientist Salary

The average data scientist's salary depends on their location. In the United States, the average salary is $104,000. However, salaries can range from $85,000 to $145,000 depending on the city. For example, in San Francisco, the average salary is $122,000 while in New York City it is $114,000.

So how much does location really affect salary: It depends on the city and the cost of living. In general, cities with a higher cost of living also have higher salaries. For example, someone living in San Francisco would need to make more money to live comfortably than someone living in a less expensive city like Bangladesh or India make less than that.

However, there are some exceptions. For example, although Chicago has a higher cost of living than Indianapolis, the average data scientist salary in Chicago is only $107,000. So while location does affect salary to some extent, it's not always the most important factor.

  • New York City, NY - $144,093
  • San Francisco, CA - $131,610
  • Austin, TX - $124,866
  • San Diego, CA - $120,033
  • Chicago, IL - $136,174
  • Houston, TX - $158,960
  • Redmond, WA - $115,293
  • Atlanta, GA - $116,558

There are a number of factors that can affect how much a data scientist salary is paid, but one of the most significant is location. Data scientists in major metropolitan areas earn more than those in other parts of the country. This is because there is more demand for their skills in these areas, and companies are willing to pay more to attract and retain talent.

Data scientists in Silicon Valley, for example, are some of the highest-paid in the profession. This is because there is a large concentration of tech companies in the region, and they are all competing for top talent. The same is true for cities like New York and Boston, which also have a lot of high-paying tech jobs.

Of course, location isn’t the only factor that affects a data scientist salary. Other important factors include experience, education, and skillset. But if you’re looking to maximize your earnings potential, it’s worth considering where you want to live and work.

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Conclusion

Overall, data scientists can expect to earn a very competitive salary, especially when compared to other professions. With the right skills and experience, data scientists can easily command a six-figure salary. So if you're considering a career in data science, rest assured that you can potentially earn a very good living doing something that you love.

As you can see from the data in this article, a career as a data scientist can be quite lucrative. If you have the skills and experience required, you could potentially earn a six-figure salary in this field. Of course, salaries will vary depending on factors such as your location and the specific company you work for. Still, if you want to make good money, data science is definitely worth considering.

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Manzurul Haque

Manzurul Haque

has contributed in 40 posts
I am a tech enthusiast and explorer, Fulltime Lead Developer and AI, ML specialist. I love to read and write blogs specially about upcoming technological changes and challenges. In my free time, I travel, watch movies, read and spend time with my kid.
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