So you want to work as a data scientist, huh? That’s a good pick. Data analytics is a creative and varied area that has a lot of job opportunities. It also leaves plenty of room for development. Data science is one path that many data scientists take. In this blog post, you will learn about the salary of a data scientist at the senior level and entry level. Also, we will tell you about the salary range of the data scientist in California and Amazon.
Data Scientist Salary
A data scientist is a person who works in analytics and is in charge of collecting, analyzing, and making sense of data to help a company make decisions. The job of a data scientist is a mix of mathematician, scientist, statistician, and computer coder. It uses advanced analytics methods like machine learning and predictive modeling, as well as scientific principles.
The average compensation for a data scientist is $100,560 per year, according to the US Bureau of Labor Statistics. Organizations are understanding the power of big data and want to use it to make smart business decisions, which is why data science salaries are so high. And because there aren’t enough data professionals to meet the demand, starting salaries for these jobs are still high, especially for those with an advanced degree in data science or a related area.
Senior Data Scientist Salary
A data scientist is very valuable to a business. But it’s hard to find someone who is great at all the things a data scientist needs to do. Also, there is a lot of competition to hire these pros. Because of this, employers are ready to pay skyrocketing salaries to data scientists. The salary of a data scientist depends on a number of things. The salary of a senior data scientist is directly related to how many great skills they’ve learned over the course of their work.
Average Senior Data Scientist Salary
The total salary for a senior data scientist in the United States is expected to be $166,909 per year, and the average salary is $130,471 per year. These numbers are the median, which is the middle point of the ranges from our Total Pay Estimate model and is based on the rates that our users gave us. The extra salary is expected to be $36,438 per year. The extra money could come as a cash gift, a commission, tips, or a share of the profits. The “Most Likely Range” indicates values between the job’s 25th and 75th percentiles.
Senior Data Scientist Salary By Experience
The average salary for a data scientist is 1824,844 per year, according to PayScale. The average salary of a data scientist who is just starting out is $1524,861. A senior data scientist, on the other hand, makes about 11,772,747. With 1 to 4 years of work experience, a data scientist can easily get a salary of $17,000 and up. Since data science is becoming a popular technology and data scientists are in demand, well-known MNCs and startups pay top data scientists an average of $177,000 per year. This number could be a lot higher based on the level of expertise and management responsibilities you can handle and any special data science skills you bring to the table.
Entry Level Data Scientist Salary
One reason so many people are interested in data science jobs is that they pay well. Income for data scientists is often in the six figures. That is true for experienced professionals as well as entry-level data scientists.
Based on 829 data points, the average salary for entry-level data scientists is $99,496. When more recent pay data points are added to the average, the average recency-weighted base salary is $102,234.
Based on 339 pieces of information, the average annual salary is projected to be $136,377. The average total salary, including bonuses, is $133,481. The typical starting salary for a data scientist is around $100,000, and their total pay averages $137,500. Does it imply you’ll be guaranteed that much money right out of college?
No, not always. Depending on your skills, where you live, and the company you work for, you could make anywhere from $60,000 to over $130,000 per year.
Entry-Level Data Scientist Salary Compared by Seniority
Are you curious about how fast you may develop in your career? With 2–5 years of experience, most data scientists are called mid-level, and salaries for mid-level data scientists are $30,000 more. If you work as a data scientist for six years, you can expect to be paid as a senior data scientist. This is a nearly $50,000 pay raise. A data scientist’s pay can go up as they get more experience. Here are the starting salaries for five different levels of experience for a data scientist:
- The average base pay for an executive is $191,302
- The average base pay of a manager is $142,211.
- The average base salary for a senior (6 years of work or more) is $143,963.
- Mid-level workers with two to five years of experience have an average base pay of $133,337.
- The average entry-level salary (0–1 years of experience) is $99,496.
Read Also: HOW TO BECOME DATA SCIENTIST: Step-By-Step Guide
Entry Level Data Scientist Salary Compared to Other Positions
According to the Bureau of Labor Statistics, entry-level data scientists make 1.85 times the national average salary, which is about $56,000.
Still, even when compared to other tech jobs, the average starting pay for a data scientist is one of the best. For instance, entry-level software engineers typically make around $110,000 annually, compared to entry-level data engineers, who typically make about $101,000.
Data Scientist Salary California
In Silicon Valley and other places, salaries and job opportunities for data scientists are very high in a wide range of businesses and specializations. In fact, the California Employment Department looked at more than 800 different jobs and found that jobs for data scientists in the field of logistical operations research were the 18th fastest-growing in the state.
As of 2014, the average salary for a statistical modeling expert in California was the third highest in the country, according to the US Bureau of Labor Statistics (BLS). The average salary for a data scientist in California who work in the field of computer and information research was the fourth highest in the country for their job type, and the average salary for data scientists who work in the field of global operations research was the fifth highest.
The US Bureau of Labor Statistics looked at salaries in cities across the country and found that data scientists in San Jose made the most on average of any city in the country in 2014.
Data Scientist Starting Salary Ranges for California Big Cities
Nerdwallet’s list of the best places for tech jobs in 2015 put the heart of Silicon Valley at the top, which makes sense given its fame. In the San Jose area, where big companies like Adobe, Apple, and eBay are based, 126 out of every 1,000 jobs were in the tech business.
Just north of the heart of Silicon Valley, San Francisco, Redwood City, and San Mateo are home to big tech companies like Google, LinkedIn, Twitter, Oracle, Yahoo, Dropbox, and many more. In 2015, this area was named by NerdWallet as the sixth best for tech jobs. Also, the Riverside area was named second on the Forbes 2013 list of new tech hot spots in the country. This is because it is one of the best places in California to find tech jobs that are on the rise.
Even though starting salaries for data scientists are high in a number of California’s biggest cities, Robert Half Technology says that starting salaries for data scientists in San Francisco is the highest as of 2016. This tech hiring company hires thousands of people across the US every year, so it can give accurate information about how much data scientists make when they first start working. Bonuses and moving expenses are not included in these salaries.
In 2011, 87% of companies had a formal relocation strategy, according to the 45th Annual Corporate Relocation Survey by Atlas Van Lines. More than two-thirds of the companies surveyed provided full reimbursement.
Amazon Data Scientist Salary
Amazon is one of the most data-driven companies in the world. It is a huge data producer and collector that depends a lot on data scientists. Knowing this, it’s not a big surprise that a data scientist at Amazon gets paid a lot.
The average salary for a data scientist at Amazon is $164,114 per year, not including the perks and benefits of the job. Plus, you get to work on goods and services that reach hundreds of millions of people around the world. There are a lot of things that go into figuring out how much an Amazon data scientist gets paid.
Factors on Which Amazon Data Scientist Salary Depends
All of the data scientists at Amazon have some things in common, like a background in computer science, math, or a related area. They are also good at writing and scripting languages like Python, SQL, and Java. They also know how to use statistics and analyze data.
Most of the time, an employee’s pay is based on how useful they are to the company and what they bring to the table. So, besides academic experience, the salary of an Amazon data scientist is based on three main things:
#1. Experience
Experience is very important and is one of the most important things that determines a data scientist’s salary. For every year of experience, you get a big chunk of money added to your pay. On average, you can expect to make about $2,500 more for every year of training you get.
#2. Job Title
In the past few years, the need for data scientists has grown a lot, so you can make more than a normal data scientist. Your pay will go up even more if you take on a managerial job, find business problems that can be solved with analytics, and lead team projects. This is true of every job out there. The more jobs you take on and the more you help the company, the more money you will make.
#3. Location
Location is another important factor because it has a clear link to how many data scientists are needed in the area. California is where data scientists can get the best pay.
Is It Hard To Become a Data Scientist?
It depends on how fast or slow you learn, but you should give yourself at least six months before calling yourself a beginner data scientist. This will give you the chance to learn the skills you need and put them to use in your own projects.
What Degree Is Needed for Data Scientist?
B.S. in Computer Science: Since this degree focuses on programming languages, it is a natural fit for a job in data science. This degree gives you a strong scientific basis and familiarity with professional tools.
Is 30 Too Late To Become a Data Scientist?
You can still learn about data science. Learning data science and getting your first job are not easy things to do. It takes time, work, and a lot of commitment. You might need a few months to learn the basics.
Is Data Science a Lot of Math?
It is hard to get into the area of data science. The main reason is that you need many different knowledge and skills. The most important parts of data science are math, statistics, and computer science.
Is Data Science Need Coding?
Traditionally, data science jobs have required people to know how to code, and most skilled data scientists still code today. But the field of data science is always changing, and now there are tools that let people finish whole data projects without typing code.
How Much Coding Do You Need for Data Science?
It would depend on the job, the project, the company, and the position. There may be stages, just like there are stages in every other job. For example, when you first start out in data science, you may need to code a lot. Then, as you learn more and get a better job, you’ll spend less time actually writing code.
References
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