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Home USA Blog Data Science & Analytics What is the Average Data Scientist Salary in the US?

What is the Average Data Scientist Salary in the US?

Rohit Sharma by Rohit Sharma
September 4, 2025
in Data Science & Analytics
Data Scientist Salaries in the US
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A multi-disciplinary technology field, data science encompasses statistics, mathematics, algorithms, business tactics, machine learning, and scientific techniques. The job of a proficient data science expert is to extract information from data. Extracted information then gets used for different purposes.

Do you wish to earn a handsome amount of salary as a data scientist in the US? If yes, you must learn about your future responsibilities first. Welcome to this page that offers comprehensive information on the top qualities of data scientists, their prime roles, and finally, the average salary to earn in the United States.

Top Qualities of a Data Scientist:

The United States is a promising destination to grab a lucrative career opportunity in data science. But to become a great data scientist in the US, you need to possess the following qualities and skills:

  • A Statistic Thought Process through which you can turn data into information
  • Technical acumen is vital to write codes and working with teams, thereby producing pipelines, tools, modules, features, websites, etc.
  • A proficient professional contextualizes and translates problems and solutions to interested parties of varying backgrounds via metaphor, storytelling, skillful listening, etc.
  • The professional also takes requests, implements them, and delivers predictions with the utmost confidence
  • Beyond communication and aesthetics, the professional solves problems and works with creativity

Responsibilities of a Data Scientist

Enlisted below are the dutiful roles and responsibilities that you, as a data scientist, must perform:

  • A career in data science equips you with the following responsibilities toward the organization:
  • Must recognize the valuable data sources as well as automate collection methods
  • The professional should also undertake the preprocessing of unstructured/ structured data
  • An experienced data scientist understands how to analyze massive amounts of information and discover upcoming trends as well as patterns
  • Building predictive models or ML algorithms is also a part of their regular job
  • A data science expert knows how to combine models via ensemble modeling
  • Besides, the expert knows the best way of presenting information via data visualization methods and techniques
  • Proposing solutions and sought-after strategies is another dutiful responsibility, as it helps mitigate challenges
  • Lastly, the data scientist should know how to collaborate with product development and engineering teams to get the job done timely
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Job Opportunities of Data Science in the US Alongside the Salary Figures

If you want to pursue a data science career, you may earn the salary mentioned in the following based on the location:

  • New York (Analyst or Financial Modeler: Approximate $132,000
  • San Francisco (approx. $137,748)
  • California: Approximate $127,000
  • New Hampshire: Approximate $128,000
  • Vermont: Approximate $120,000
  • Massachusetts: Approximate $119,000
  • Idaho: Approximate $120,000
  • Wyoming: Approximate $118,000
  • Washington: Approximate $116,000
  • Hawaii: Approximate $115,000
  • Maine: Approximate $117,000

Do You Wish to Become a Data Scientist in the US?

Now that you have learned about the approximate data scientist salary figures, you may choose the course accordingly. Note that with a data science course, you can also become a:

  • Data analyst
  • Database administrator
  • Data science/analytics manager
  • Data mining engineer
  • Big data engineer
  • Data Architect
  • Market intelligence marketer or analyzer
  • ML engineer
  • Data warehouse architect and more

Wrapping up

So, now you have become familiar with the salary and career opportunities with data science in the US. Hopefully, you can now leverage your skills and gain admittance to the right course. Remember that the salary figure differs from one location to another and from one data science career to another.

Now, it is up to you to choose the career that suits your requirements and preferences. If you want to advance your career, the foundation step lies in identifying your interests. Only then can you be able to grab the golden opportunity of building a promising future ahead.

Rohit Sharma

Rohit Sharma

27 articles published

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