- 01. What Is Data Science, And What Do Data Scientists Do?
- 02. Types Of Data Scientist Jobs
- 03. How Much Money Can You Make As A Data Scientist?
- 04. What Skills Are Needed To Be A Successful Data Scientist?
- 05. How to become a data scientist?
- 06. The Future Of Data Science And Its Impact On The Job Market
- 07. Master Your Data Science Skills With Superprof
Having the skills of a data scientist can lead to a lucrative career, with an average salary of $116,100 per year in the United States. In 2021, Glassdoor ranked the data scientist job as the top-most profession in the United States, with a median base salary of $110,000. It's a rewarding and sought-after field with a bright future, where the workings of a data scientist are both challenging and exciting.
By writing codes for software programs and computer applications, data scientists contribute to a wide range of niches. These people work in several fields like information technology, government service, digital businesses, and medicine. Additionally, acquiring the skills of data scientists allows them to work independently or on a contract basis.
But, before you make the jump, you may be wondering how to become a data scientist and if degrees in data science are worth it. The answer depends on many factors – including qualifications, experience level, and others. Want to know more? We've got all the details right here.
This article will examine the different types of data science job options and their pay ranges.
What Is Data Science, And What Do Data Scientists Do?
Data science is the study of data where the application of statistics, computer science, machine learning, and analytics help evaluate data. Data scientists use this knowledge to help organizations make better decisions by gleaning insights from data to solve problems.
Some of the activities that data scientists may perform include:
- Data mining (finding patterns in data)
- Modeling (using mathematical equations to predict future events)
- Forecasting (predicting how trends will change over time)
- Analyzing (understanding what the data means)
- Building systems to collect, store and manage large amounts of data
Data scientists work with a variety of technologies, including big data platforms, SQL and NoSQL databases, predictive modeling software, and machine learning algorithms. They typically need to be proficient in Python, R, or MATLAB.
As a result, the skills of data scientist varies significantly. Typically, data scientists have a background in mathematics, statistics or engineering, and data science degrees. However, many employers now require proficiency in artificial intelligence (AI) and natural language processing (NLP). The best schools for data science in the USA are internationally accredited, helping you develop the required skills of data scientists and practical experience.
Types Of Data Scientist Jobs
Wondering what career opportunities you have as a data scientist?
Data scientists come in various roles with diverse salary ranges. Here are some standard job titles and their average salaries, according to Glassdoor.
|Data Scientist Jobs||Description||Salary Range|
|Data Scientist||As a data scientist, you'll use a combination of computer science, statistics, and machine learning to analyze data and provide business insights.||The average salary for this role is $116,100.|
|Machine Learning Engineer||As a machine learning engineer, you'll apply your knowledge of algorithms and programming to develop machine learning solutions for organizations.||Machine Learning Engineer roughly earns $121,100.|
|Data Engineer||As a data engineer, you'll focus on creating infrastructure and tools to store and manage large amounts of data.||On average, they earn $115,000|
|Business Intelligence Analyst||You'll analyze data as a business intelligence analyst to help businesses make strategic decisions.||The average salary is around $85,500.|
|Data Analyst||As a data analyst, you'll use statistical methods and software to analyze and interpret data.||An average pay scale comes to around $63,100.|
How Much Money Can You Make As A Data Scientist?
Data science is a rapidly growing field, and according to Glassdoor, data scientists earn a median base salary of $110,000.
The salary of a data scientist varies depending on a number of factors, such as:
Where you live can significantly impact your salary as a data scientist. According to Glassdoor, the highest-paying cities for data scientists are San Francisco and New York, where the median base salary is roughly $117,000 and $114,000, respectively.
Other high-paying cities include Seattle ($113,000), Los Angeles ($111,000), and Chicago ($110,000).
On the other hand, cities with lower median base salaries for data scientists include Atlanta ($101,000), Dallas ($99,000), and Houston ($98,000).
Not surprisingly, larger companies tend to offer higher salaries for data scientists. According to Glassdoor, the highest-paying companies include Amazon ($143,000), Microsoft ($138,000), and Facebook ($136,000).
Smaller companies, on the other hand, may offer lower salaries – for example, the median base salary at Yelp is $118,000, and at Dropbox, it's $117,000.
Your level of experience also plays a role in determining your salary as a data scientist. According to Glassdoor, entry-level data scientists earn an average base salary of $95,000, while senior-level data scientists earn a median base salary of $128,000.
Your pay scale also increases as you gain more experience and skills in the field.
Are you worried and unsure about what qualifications are required to qualify as a successful data scientist? Wondering whether your academics play a role in your pay scale?
Your educational background impacts the pay scale as a data scientist. According to Glassdoor, the highest-paying degrees for data scientists are computer science ($113,000), engineering ($112,000), and mathematics/statistics ($111,000).
Other common backgrounds for data scientists include physics ($108,000), economics ($107,000), and business ($105,000). However, it's important to note that employers also value real-world experience and a strong understanding of data science principles and techniques.
Earning a professional certification, such as the Certified Analytics Professional (CAP) or the Certified Big Data Professional (CBDP), can positively impact your salary.
According to Payscale, professionals with a CAP certification earn an average salary of $116,000, while those with a CBDP certification earn an average salary of $115,000.
However, it's important to note that certification alone does not guarantee a higher wage – employers also value relevant experience and a vital skill set in data science.
What Skills Are Needed To Be A Successful Data Scientist?
In addition to a strong understanding of data science principles and techniques, there are other skills that a data scientist must have.
These include problem-solving abilities, statistical and mathematical knowledge, programming languages (such as Python and R), communication skills, and the ability to work with large datasets and complex systems.
As technology continues to evolve, data scientists need to stay up-to-date on the latest tools and trends in the field.
Ultimately, a successful data scientist should be able to utilize data to solve problems and make informed decisions. So while technical skills are essential, it's also crucial to have strong critical thinking abilities and business acumen.
How to become a data scientist?
Many individuals ask, "how to become a data scientist?" Well, continuous learning and professional development are crucial to success in this field. It's essential to stay up-to-date on the latest tools, trends, and innovations in data science.
You need to have specific degrees in data science, like a Bachelor's or Master's degree in a data science-related field of computer science, mathematics, or statistics.
In general, becoming a successful data scientist requires a combination of education, experience, and the proper skill set, which can lead to a fulfilling and lucrative career.
The Future Of Data Science And Its Impact On The Job Market
We live in the digital age, where technology saturates all aspects of our life. It also shows no indications of slowing down: new technology is constantly being invented, existing technology is being improved, and people are now expected to have greater technical ability than in the past.
The demand for data scientists is expected to grow in the coming years as more and more companies rely on data insights and analysis for decision-making. In fact, a report by IBM predicts that there will be a 28% increase in the number of jobs for data scientists by 2020.
Overall, the demand for data scientists is high, and the potential earnings are promising. As companies continue to collect and analyze more data, they will need professionals with the skills and expertise to make sense of it all – making a career in data science a potentially lucrative option.
Master Your Data Science Skills With Superprof
Data science is a lucrative and in-demand field with plenty of growth opportunities. You can learn the fundamentals of data science by taking online courses, attending conferences, exploring digital resources, or pursuing professional certifications from the best schools of data science.
With the right combination of education, experience, and skill set, you can make yourself an invaluable asset to any company or organization. If you want to pursue a career in data science, there is no better option than Superprof.
At Superprof, they have a wide range of experienced tutors who help you strengthen your skillset by developing critical analytical capabilities. Their tutors offer both in-person and online lessons, with flexible scheduling options to fit your needs.
So, take the first step towards success in this field by registering at Superprof.
The platform that connects tutors and students