Salary structure is vital when looking for any new job position and a data science career. So, if you are breaking into a career in data science, here is the good news: you shall get the best salaries in the tech industry. According to the US Bureau of Labor Statistics, data science is the third fastest developing profession, with a growth rate of 35% through 2031.
How Much You Can Earn as a Data Scientist?
Various organizations from different sectors need data science professionals who can leverage data and drive intelligent business decisions. According to Indeed.com the data scientist’s salary in the USA ranges from $122728 to $193885. Along with salary, the perks given by the company are increased with experience and expertise.
Data Scientist Salary Based on Career Progression
Here is the data scientist’s salary based on the career progression:
Junior Data Scientist
The novice data scientist just began their career and doesn’t have a PhD degree and is likely to work under a senior team and learn to apply techniques to solve issues. According to Indeed.com, the average junior data scientist’s salary is $76156, which can vary based on education and work experience.
Senior Data Scientist
You are promoted to a senior position after gaining 3 or 4 years of experience in data scientist jobs. The senior position comes with its responsibility and needs to implement end–to–end projects themselves. The salary of a senior data scientist is $149873 as per Indeed.com.
Data Science Manager
After completing 5 to 7 years on the job, the senior data scientist is promoted and becomes a data science manager. They are responsible for supervising teams and seeing the completion of tasks successfully. According to Glassdoor study, data science managers get $158804 yearly.
Data Scientist Salary by Location
Data science professional’s salary is highly dependent on location. Here as per the research of Indeed.com, we cited the best data scientist salary in the world
|
Country |
Average Annual Data Scientist Salary |
Average National Annual Salary |
|
United States |
$123,137 |
$55,640 |
|
UK |
£51,250 |
£42,210 |
|
Canada |
$96,481 |
$59,059 |
|
Australia |
$114,521 |
$73,474 |
|
Germany |
€56,536 |
€49,260 |
|
India |
₹11,24,572 |
₹8,30,000 |
|
Singapore |
$109,983 |
$70,000 |
Factors Influencing Data Scientist Salaries
Data science is a rewarding sector, both financially and intellectually. However, salary influenced by various critical factors like skills, experience, expertise, and more. Grasping these elements will make you aware of the career options and bargain for a competitive salary.
- Experience Level
With most professionals, experience plays a significant role in determining your salary. However, entry-level data scientists will get lower salaries as compared to their counterparts at the mid and senior levels. So, while pursuing a job, you must gain experience, build a strong portfolio, and show your worth to yield a higher salary. You will observe a substantial increment in your annual earnings.
- Work Location
The locations you choose create a crucial impact on your salary. Metro cities are hubs of technology companies and provide higher salaries. It’s because of increased living expenses and the rise in the requirements for data scientists.
- Skills and Expertise
The skills create a positive impact on salary expectations. Data science professionals proficient in machine learning, AI, deep learning, and big data technologies earn high salaries. Also, language mastery in Python, Java, R, and many others boosts the potential for earning money.
- Educational Background
The education qualification influences the initial salary and career advancement. A bachelor’s degree in computer science, math, and statistics is essential, but a master’s degree in data science will provide a competitive edge in high-paying jobs.
Tips to Advance Your Data Scientist Salary
If any aspirants want to maximize their earning potential, they must consider the following tips:
- Continuous Skill Development
To develop in the field of data science and get a good job with better pay scales, it is important to update with the latest technologies added in this field. It will be helpful to discover which competencies aid Data Scientists in increasing their income by orders of magnitude.
- Get Certified
Certification for a data scientist enhances their chances of employment and earning more. A credible Data Scientist Certification course will test your data science skills and prepare you to tackle problems. This is the best way to show the hiring managers your data science knowledge.
- Develop Portfolio Projects
Proving to potential employers that you can attend to an entire data science project is essential. This way, it will capture the attention of the hiring managers and simultaneously ensure high-quality and creative projects to win the negotiation for a higher salary than the other candidates.
Conclusion
Data science careers are flourishing, and vast opportunities are available for those interested in breaking into the industry. So, aspirants can unlock a successful future by investing in skills and staying ahead of the industry trends. If you want to start a lasting career in data science, USDSI® among any other contenders is an ideal global certification provider to advance with. So check out their latest data science certifications to advance in a thriving data science job in 2025.