Top Data Science Career Options in the USA [2025]

Data science jobs in the USA are booming, thanks to the ever-growing need for data-driven decision-making across industries. With businesses relying more than ever on data to gain a competitive edge, the demand for skilled data scientists continues to surge. If you're wondering about the best career options after data science or looking for data science jobs in the USA for freshers, you're on the right track—this field offers lucrative roles and exciting growth potential.

In this article, we’ll explore the top 10 data science jobs in the USA, what each role entails, and the expected data scientist salary in the US. Whether you're a fresher or a mid-level professional eyeing data scientist jobs in the USA, this guide will help you align your career goals with the right opportunities in the field.

Achieve a groundbreaking career breakthroughs with a 100% online Data Science course from top Indian and global universities, in association with upGrad. Designed to deliver prestigious certifications and up to 57% salary hikes.

Kickstart Your Data Science Career Today – Enroll Now!

Why Pursue Data Science?

Businesses and technology are becoming data-driven. As a result, data is in heaps everywhere and in various structured and unstructured forms. This data can be converted into valuable assets by data science experts with their expertise and knowledge to survive the current business norms and succeed on the world stage. Data is the pivotal point that turns the economy of the world. 

This is why data scientists are in huge demand, not just in the US but across the whole world, and companies are highly dependent on data science experts for business decisions. With data science professionals being integral and indispensable assets to their organizations, there hasn’t been a better time for aspirants to pursue a career in data science.

The demand for data science professionals has increased tremendously. According to the U.S. Bureau of Labor Statistics, the market is expected to grow by 36% by the year 2033.

The demand is also seen in the high salary given to the data scientists The average data scientist’s salary is $127,255 per annum.

Apply Now for MS in Data Science with upGrad 

Earn a globally recognized degree from LJMU + Executive Diploma from IIITB in just 18 months. Advance your career with flexible online learning!

Unlock expert insights, step-by-step guidance, and pro tips to build a successful career in data science. Perfect for beginners and aspiring data scientists!

Watch the video on YouTube :

Demand for Data Science in the US

According to the US Bureau of Statistics reports, over 11.5 million jobs might be created by 2026. Data science careers offer lucrative packages and high job opportunities across a wide range of industries. The Bureau of Labour Statistics (BLS) estimates strong growth for many data science careers. The list of a few of them with their estimated growth rate is given below:

• Market research analysis: 18%
• Computer and information research: 15%
• Computer System analysis: 7%
• Operation research analysis: 25%

Data science professionals are greatly in demand in a range of industries like finance, computer engineering, business analytics, and healthcare, to name a few. The salary offered to these professionals depends on their roles and experience levels. Data scientists have a solid educational background with a master’s degree or PhD that contributes to their competent skills and expertise that benefit companies. This is why they are offered lucrative and competitive packages.

The average salary offered to a data scientist in the US is $127,255 per year. However, the package offered to data science professionals varies with experience and their working sector. According to BLS, data science professionals in the mathematical science field earn a remuneration of $112,590 per year

Enroll Now in the Professional Certificate Program in Data Science and AI

Gain triple certification from Microsoft, NSDC & Industry Partner. Learn from industry leaders and build real-world projects with top brands!

Data Science Career Options in the US

Career options in data science are plenty as the entire economy pivots on data. So let us now look at the different data science career paths and their compensation:

1. Data Analyst

Data analysts are responsible for the security of the organization’s data. They also help the stakeholders and owners to understand and interpret data to make predictions and decisions. Apart from these, they also develop and maintain databases and systems. In short, they organize data to make it resourceful. They scoop out relevant information and use them to study past trends and forecast future outcomes. 

The average salary offered to data analysts in the US is $127,255 per year. 

Skills required for data analyst:

• SQL
• Machine learning
• Econometrics
• Database  management
• Statistical visualisation
• Statistical programming
• Probability 
• Linear Algebra
• Calculus
• Microsoft Excel
• Matlab
• R
• Data cleaning
• Python
• Communication
• Critical thinking

Some of the top US companies hiring for Data Analyst are mentioned below-

• Goldman Sachs
• Forest Park
• Google
• Apple
• PWC
• Boeing
• Nasdaq

Minimum qualification for data analyst:

Bachelor’s degree preferably in Computer Science, IT, Mathematics or Statistics from a recognised university.

Join the Generative AI Mastery Certificate for Data Analysis

Leverage AI to analyze data smarter and faster. Earn dual certifications from Microsoft and upGrad, plus get sponsored for the Microsoft Power BI Global Certification!

2. Data Engineer

Data engineers work in various sectors. They develop robust systems that collect, process and transform raw data into meaningful information that data scientists and business analysts can interpret. The primary responsibility of a data engineer is to make relevant information available to the organization for better performance. Besides this, they also align data architecture with the business requirements with the help of programming languages and tools.

The average salary offered to data engineers in the US is $126,260 per year. 

Skills required from a data engineer:

• Java
• Scala
• GoLang
• Python
• Multiple Operating Systems
• DevOps
• Security Management
• Analytical/ BI tools
• Cloud computing
• Machine learning
• Statistical

Some of the top US companies hiring for Data Engineer are mentioned below-

• Amazon
• PWC
• Capgemini
• Spotify
• Infosys
• Walmart
• Typeform
• Accenture
• Macquarie Group

Minimum qualification required from Data Engineer-

Bachelors degree preferably in computer science, software, computer engineering, statistics, mathematics, physics.  With the right qualification, the data science scope in USA is endless. 

3. Statistician

A professional responsible for collecting relevant and valuable data for research is known as a statistician. Their role is crucial in research and academics. In business, they assess, organize, and process data to help in vital business decisions. They also identify past trends and establish a relationship with the present market scenario to predict future outcomes. Designing an efficient process for data collection is also a part of their job profile. They also place their suggestions in developing strategies in an organization and communicate their data findings to concerned stakeholders. 

The average salary offered to statisticians in the US is $ 89,587 per year.

Some of the skills required for a statistician-

• Predictive modelling
• Data Mining
• Statistics
• Analytical thinking skills
• Problem- solving
• Communication
• Mathematics
• Statistics
• Database management.

Minimum eligibility requirement-

Bachelor’s degree in statistics, mathematics, computer science, or economics.

Skills required for Database manager-

• Microsoft Excel
• SQL
• Analytical 
• Leadership 
• Data Modelling
• Database performance

Some of the top US companies hiring for Database Managers are mentioned below-

• HCL Technologies
• Pratt Institute
• The Hamlin School
• The University of Mary
• Dartmouth College

Minimum eligibility for Database Manager-

The scope of data science in usa broadens with the bachelors in computer science or information technology. 

4. Database Manager

Database managers maintain an organization’s database. They also collect and report valuable information besides fixing technical glitches associated with the database. Database managers also optimize collected data for future reference and streamline hardware and software systems for the same, based on the company’s requirements. They develop an efficient system that can store, retrieve, and recover valuable data with ease. Data security is also handled by database managers who supervise the performance of the database team every day.

The average salary offered to database managers in the US is $78,356 per year.

Skills required for Database manager-

• Microsoft Excel
• SQL
• Analytical 
• Leadership 
• Data Modelling 
• Database performance

Some of the top US companies hiring for Database Managers are mentioned below-

• HCL Technologies
• Pratt Institute
• The Hamlin School
• The University of Mary
• Dartmouth College

Minimum eligibility for Database Manager-

The scope of data science in usa broadens with the bachelors in computer science or information technology. 

5. Infrastructure engineer

Infrastructure engineers, also known as cloud engineers, help in installation, maintenance, and debugging servers, systems, and cloud computing modules in an organization. They are specialists in server virtualization technologies and create and manage highly secured Virtual Private Networks (VPNs). 

The average salary offered to infrastructure engineers in the US is $127,719 per year.

Some of the skills required for an Infrastructure Engineer-

• Advanced organisational skills
• Database management systems
• Enterprise resources
• IoT devices
• Network protocols
• Operating systems
• Firewalls
• VPNs

Some of the top US companies hiring for Infrastructure Engineer are mentioned below-

• Insight Global
• UtilizeCore
• Bank of America
• Twitter
• IBM
• JP Morgan Chase&Co.
• Wells Fargo
• Barclays

Minimum Eligibility requirements- 

The job opportunities for data science in USA broadens for Infrastructure Engineer when a candidate has Bachelor’s degree in technology or computer science. 

6. Data architect

The primary responsibility of a data architect is to develop a robust computer database system that is easily accessible, resourceful, and highly secure. They generate the blueprint for creating, managing, and analyzing the database. Data architects are responsible for designing an entire database framework for an organization. The framework defines all the planning, creating, enabling, maintaining, retrieving, and storing all relevant data. 

The average salary offered to data architects in the US is $139,060 per year.

Some of the skills required for Data Architect-

• Systems Development
• Project Management
• Design techniques
• Testing techniques
• System Development Cycle
• Programming skills
• Business skills
• Database design
• Data Modelling

Some of the top US companies hiring for Data Architect are mentioned below-

• Cognizant
• MongoDB
• Dice
• Apple
• Oracle
• Deloitte

Minimum eligibility requirement-

A data architect’s minimum education requirement is bachelor’s degree in computer science, computer engineering or a related field. 

7. Machine learning Engineer 

Machine learning engineers design and develop Artificial Intelligence (AI) algorithms that can assess and make predictions to define machine learning. These engineers must deal with loads of data to scrutinize and organize them while simultaneously running tests and streamlining machine learning models and algorithms. Therefore, they must have exceptional statistical and programming skills to carry out their responsibilities to develop and retrain machine learning systems. 

The average salary offered to machine learning engineers in the US is $165,183 per year.

Some of the skills required from Machine Learning Engineer-

• Mathematics
• Statistics
• Problem- solving
• Analytical
• ML Transformation
• Machine learning algorithms
• Computer Architecture
• Data structures 

Some of the top US companies hiring for Machine learning Engineer  are mentioned below-

• Marsh
• Twitter
• Lucid Motors
• Bertrandt Group
• Heal
• Pinterest
• TikTok
• Apple
• Reddit
• VMware

Minimum eligibility requirement for a Machine learning engineer-

A Bachelor’s or a Master’s degree in the field is expected from a Machine Learning Engineer. Having sufficient domain- experience adds to gaining better opportunities. 

8. Principal Data Scientist

The responsibilities of a lead data scientist include overseeing the data science team, designing projects, and developing analytical models. Their job involves a lot of research and innovation as they study loads of data and look for patterns and relationships essential for data interpretation and modeling. They evaluate an organization’s project management and product development procedures by studying data statistics and market trends. 

The average salary offered to a principal data scientist in the US is $1,64,688 per year.

Skills required from a Principal Data Scientist-

• Data wrangling
• Database management
• Data visualisation
• Cloud Computing
• Machine learning
• Deep learning 
• Mathematics
• Collaborative
• Communicative

Some of the top US companies hiring for Principal Data Scientist Engineer  are mentioned below-

• Microsoft
• Boehringer Ingelheim
• BitSight
• CyberCoders
• Harnham
• Mayo Clinic
• TLR Ventures

Minimum education requirement- Bachelor’s degree is the minimum education requirement for a Principal Data Scientist. Rest, the professionals must invest their efforts into upskilling and gaining better job opportunities. The young job aspirants having the apprehension that “Is data science a good career? Must be assured that it is a very good career. 

9. Data Warehouse Engineer

A data warehouse engineer is responsible for developing ETL processes, database cubes, management of performance, and designing the dimension for table structure. Data warehouse engineers play the role of managers by providing support to data warehouses every day and debugging the errors in the system. They are also responsible for improving data accuracy and organization and play a key role in making technology-based decisions for the future of the business’s data analysis and reporting. 

The average salary offered to a data warehouse engineer in the US is $121,962 per year.

Some of the skills required from Data Warehouse Engineer-

• Storing
• Organising
• Management
• Database design
• SQL
• Project Management
• Security Engineering
• Cloud Engineering
• Testing
• Service Management
• Data Analytics

Some of the top US companies hiring for Data Warehouse Engineer  are mentioned below-

• American Red Cross
• R1 RCM
• Thomson Reuters
• Tory Burch 
• Google
• Zapier

Minimum education requirement-

Minimum education requirement for Data Warehouse Engineer is bachelor’s in computer science or related field. 

10. Business Intelligence Developer

BI developers act as a liaison between data and people who seek data. They are invaluable to people who require data insights but lack the SQL skills essential for query construction. They deploy business intelligence software to interpret and project data for their organization. They develop simple and easily navigable tools and interfaces to simplify data interaction and research. They leverage data to help businesses identify areas that need improvement, study trends, and find potential threats. 

The average salary offered to a business intelligence developer is $106,959 per year.

Some of the skills required from a BI Developer include-

• Programming languages
• Data visualisation
• Data formatting
• Data Management
• Datawarehouse Architecture
• Statistical analysis
• Technical understanding
• Communication
• Problem-solving

Minimum education requirement-

Bachelor’s degree in the field of computer science is the minimum education requirement for a BI Developer.

Upskill with upGrad

If you are looking to advance your career in data science, we recommend you pursue an Advanced Program in Data Science, an 8-month course offered by IIT Bangalore and powered by upGrad. 

The online program covering 12 to 15 study hours a week includes mentorship by India’s top experts in data science faculty and industry. Furthermore, the curriculum consists of over 40 live sessions and more than 7 industry-related projects across 300+ hours of learning.

On completion, students get a certification from the coveted IIT Bangalore, India’s No. 1 Technical University (Pvt.), besides providing a 360-degree placement and student support from upGrad. 

So, what are you waiting for? Start your learning journey today!

Conclusion

The data science field in the USA is rapidly evolving, offering abundant career opportunities across various industries. With roles like data scientist, data engineer, and AI specialist, professionals can pursue diverse paths with strong growth potential. As demand for data-driven decision-making increases, positions in data science continue to provide excellent salary prospects and job security. Whether you're just starting or seeking career advancement, the data science field offers endless possibilities for those ready to dive in.

Ready to take your career to the next level? Book a 1-on-1 counselling session with upGrad's expert advisors and get personalized guidance on the best data science career path and courses that align with your goals. Book your session today!

Unlock the power of data with our popular Data Science courses, designed to make you proficient in analytics, machine learning, and big data!

Explore our Popular Data Science Courses

Elevate your career by learning essential Data Science skills such as statistical modeling, big data processing, predictive analytics, and SQL!

Top Data Science Skills to Learn

Stay informed and inspired with our popular Data Science articles, offering expert insights, trends, and practical tips for aspiring data professionals!

Read our popular Data Science Articles