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Data science is a multi-disciplinary field in technology that combines mathematics, statistics, business tactics, algorithms, scientific techniques, and machine learning. Essentially, skilled data science professionals extract valuable information from an ocean of data. The extracted information is used in a variety of domains. Professionals who process and convert data into valuable insights are called data scientists. They employ sophisticated techniques to analyze past trends and forecast future outcomes of the market.
Data science is currently one of the most sought-after fields today as crucial business decisions are made after data analysis, giving companies a competitive edge in the market. It is also a booming career path worldwide, with the demand for data scientists increasing by the day. As a result, career options in data science have also seen a consistent rise over the years.
In this article, we’ll take a look at the top 10 careers in data science so you, as an aspirant, can steer your career accordingly.
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 23% by the year 2030.
The demand is also seen in the high salary given to the data scientists The average data scientist’s salary is $144,873 per annum (Source).
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 $115,187 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 $100,560.
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 $65,903 per year.
Skills required for data analyst:
- SQL
- Machine learning
- Econometrics
- Data 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
- Apple
- PWC
- Boeing
- Nasdaq
Minimum qualification for data analyst-
Bachelor’s degree preferably in Computer Science, IT, Mathematics or Statistics from a recognised university.
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 $120,581 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 $98,155 per year.
Some of the skills required for a statistician-
- Predictive modelling
- Data Mining
- Statistics
- Analytical 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 $61,539 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 $61,539 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
- 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 $124,464 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 $141,440 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
- Lucid Motors
- Bertrandt Group
- Heal
- TikTok
- Apple
- 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 $135,923 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 $83,399 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
- 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 $94,625 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!
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