Uploaded on Feb 17, 2025
Learn about the latest data science industry insights, trends, salary outlooks, interesting facts, and top opportunities in our Data Science Career Factsheet 2025. bit.ly/4hHf5SM
Data Science Career 2025
FACTSHEET
DATA SCIENCE
CAREERS
IN 2025
© Copyright 2024. United States Data Science Institute. All Rights Reserved usdsi.org
This rapid growth in the amount of data generated
also indicates an increase in the demand for skilled
data science professionals who can efficiently
handle this data and transform it into actionable
insights.
Data Science, in brief, refers to the field of study
that deals with drawing meaningful insights from
raw data.
Though data science has existed in this world for
quite some time now, it is still in its growing phase.
New tools and trends are coming up regularly, and
data science technology is continuously evolving
giving way to several job opportunities and
innovation furthermore.
"Data Science Skills will drive a
27.9% surge in employment in the
"The Global Data field through 2026"
Volume is expected -US Bureau of Labor Statistics
to reach a whopping
175 zettabytes by
2025"
-IDC
© Copyright 2024. United States Data Science Institute. All Rights Reserved usdsi.org
DATA SCIENCE
OVERVIEW – 2024
Data Science Market Size in 2024 - USD 133.12 billion.
-Fortune Business Insights
Annual average salary of data scientists - $158,218.
-Glassdoor
83% of data scientists regularly use machine learning methods for their regular tasks.
-Kaggle
59% of organizations acknowledge big data and analytics adoption for gaining
competitive advantage.
-IBM
Organizations leveraging data-driven decisions are 23 times more efficient in acquiring
new customers and 6 times more efficient in retaining them.
-McKinsey & Company
Python is the most popular programming language in 2024 with 34% of data scientists
using it in their job.
-Anaconda's Survey 2024
65% of organizations understand the value of data-driven decision-making for the
success of their business
-Deloitte
Companies using analytics improve their performance and earn 126% higher profit.
-McKinsey & Company
Companies using advanced analytics in their supply chain were able to reduce their
supply chain cost by 50%.
-Accenture
These facts show the importance of data science in taking businesses forward.
But what does the future of data science look like?
© Copyright 2024. United States Data Science Institute. All Rights Reserved usdsi.org
THE STATE OF
DATA SCIENCE IN 2025
2000
1,826.9
1800 GLOBAL DATA SCIENCE PLATFORM MARKET
Size, by Component, 2024-2033 (USD Billion)
1600
Platform Services 1,418,4
1400
1200
1,101.3
1000
855.0
800
663.8
600
515.4
400 400.2310.7
241.2
200 145.4
187.3
0
2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033
The Market Will The Forecasted Market
Grow At the CAGR of:28.8% Size for 2033 in USD $1,826.9B
As we enter 2025, the global data science platform market is expected to reach $241.2 billion
growing at a CAGR of 28.8%.
This growth in the data science market can be directly attributed to the increase in the amount of
data generated which is going to reach ~180 zettabytes by 2025, as predicted by IDC.
The demand for data scientists in 2026 will be over by 50% more than the supply in the US.
-McKinsey Global Institute.
The data science and analytics jobs constitute the fastest-growing job roles with a
projected growth rate of 15% through 2025 to 2029.
-US Bureau of Labor Statistics
Healthcare is one of the top industries widely adopting data science into its operation
and the global healthcare analytics market is expected to reach $85.9 billion by 2025.
-Markets and Markets
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Source: market.us
DATA SCIENCE ACROSS
VARIOUS INDUSTRIES
FINANCE & HEALTHCARE & RETAIL &
BANKING MEDICINE E-COMMERCE
Projected market size Projected market size Projected market size
$10.26 billion by 2025 $57.79 billion by 2025 $10.6 billion by 2025
-precedenceresearch -precedenceresearch -market.us
88% of financial Adopting big data E-commerce companies
institutions think AI analytics has the potential using data science for
will transform their to minimize industry personalization can
business operations and expenditure by $300 increase revenue by up to
interaction with billion in 5-15% and increase ROI
customers the US. by 10-30%
-Deloitte -McKinsey & Company
HealthIT Analytics
Data-driven banks have AI-powered chatbots
survey revealed 89% of
the chance to gain 5-10% have helped retailers
healthcare professionals
higher return on equity reduce customer support
have already started
(ROE) costs by 70-80%
-McKinsey investing in big data -market.us
analytics and AI
© Copyright 2024. United States Data Science Institute. All Rights Reserved usdsi.org
DATA SCIENCE TRENDS
TO WATCH OUT FOR
INCREASED USE OF GENERATIVE AI
GenAI will be used to generate synthetic data to train data
science models.
EDGE COMPUTING
It will help process data right at the source in real time and
thus reduce delay and use of bandwidth.
AUGMENTED ANALYTICS
Various data science processes can be automated and
augmented using advanced AI and ML technologies.
GRAPH ANALYTICS
It examines how data are interconnected and can be used
for social network analysis and fraud detection.
QUANTUM COMPUTING
Even though it is at a starting stage, it will start affecting
data science to solve difficult problems at a faster rate.
© Copyright 2024. United States Data Science Institute. All Rights Reserved usdsi.org
JOB MARKET AND
SALARY TRENDS FOR 2025
TOP 7 DATA SCIENCE ROLES TO EXPLORE IN 2025
The data science industry has given rise to several job profiles from renowned data scientists to
top-rated data analysts. Each of these roles performs specific data science jobs catering to different
needs of the organizations.
Annual Average Salary
JOB ROLE RESPONSIBILITIES in US in 2024*
MACHINE Develops and deploys machine-learning
LEARNING models and transforms machine-learning $161,286
ENGINEER algorithms into practical applications.
Looks after data science projects; builds
DATA
machine learning models; and creates $158,218
SCIENTIST
data-driven solutions.
BUSINESS
Fosters organizations to make strategic
INTELLIGENCE $123,284
business decisions using data.
ANALYST
DATA Analyzes data and provides valuable insights
$108,336
ANALYST to support decision-making.
Design & maintain the data pipelines by developing
DATA
proper infrastructure to facilitate data collection, $104,088
ENGINEER
storage, and preparation of data for analysis.
CLINICAL Gathers data from a variety of medical research
DATA projects and unites healthcare training with $137,500
MANAGERS math, programming, and computer science.
DATA ETHICS Checks all data are used in a responsible
$121,242
SPECIALISTS and ethical manner.
Source: Glassdoor
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3 POPULAR DATA SCIENCE LEADERSHIP ROLES
CHIEF DATA CHIEF DATA DIRECTOR OF
OFFICER: SCIENTIST: DATA SCIENCE:
Top-most senior data Works with C-suite Leads a team of data
science leadership executives to solve scientists and is
role responsible for the most pressing responsible for
developing and data challenges setting goals,
implementing the EXPECTED ANNUAL delegating tasks,
organization's data AVERAGE SALARY: and analyzing
strategy. reports.
$277,700
EXPECTED ANNUAL EXPECTED ANNUAL
AVERAGE SALARY: (salary.com) AVERAGE SALARY:
$334,200 $202,447
(salary.com) (salary.com)
DATA SCIENCE ROADMAP
Data Science professionals belong to highly technical profiles with knowledge of their industry
and business. So, having a graduate or post-graduate degree in the following field is recommended:
Mathematics Computer Science
Statistics Engineering
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Educational Requisites in the United States (Source: Indeed)
Bachelor's degree Master's degree PhD
71% 24% 5%
TECHNICAL SKILLS NON-TECHNICAL SKILLS:
PROGRAMMING LANGUAGE: CRITICAL THINKING
Proficiency in different programming GOOD COMMUNICATION
languages such as Python, R, SQL, etc.
PROBLEM-SOLVING SKILL
MACHINE LEARNING: A GOOD TEAM PLAYER
Machine learning is a field of computer LEADERSHIP SKILLS
science that gives computers the ability to
learn without being explicitly programmed.
DATA SCIENCE TOOLS MOST
STATISTICS AND MATHEMATICS:
USED BY PROFESSIONALS
Data scientists must have a strong foundation
in statistics to perform hypothesis testing,
PROGRAMMING LANGUAGES
experimentation, and data modeling.
Python, R, SQL, Julia
DATA MANIPULATION AND ANALYSIS: DATA PROCESSING AND ANALYSIS
Exploratory Data Analysis techniques to draw Apache Spark, Apache Hadoop, Pandas
insights and patterns from data.
MACHINE LEARNING LIBRARIES
DATA VISUALIZATION: SciKit-learn, TensorFlow, Kera
Matplotlib, Seaborn, Tableau, etc.
DATA VISUALIZATION TOOLS
BIG DATA TECHNOLOGIES: Matplotlib, Seaborn, Tableau
Hadoop and Apache Spark for processing BIG DATA PLATFORMS
large datasets
Apache Spark, Apache Flink
CLOUD COMPUTING: DATA PREPARATION AND ETL TOOLS
Familiarity with cloud computing platforms Talend, Alteryx, Trifacta
like AWS and Azure to deploy and manage
data science projects. CLOUD SERVICES FOR DATA SCIENCE
AWS, GCP, Microsoft Azure
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TOP COMPANIES
HIRING DATA SCIENTIST:
The data science market is currently seeing a boom. As per Glassdoor, the current data
scientist's salary in the US is $158,218 per annum and we can expect it to only increase in
the year 2025.
UPSKILLING IN DATA SCIENCE?
WHAT'S THE BIG DEAL ABOUT
What you learned a few years ago might not be
useful today! With ever-surging data comes the
need for newer and mean techniques to counter
and handle the numbers like a pro.
This is why Upskilling is the key to a thriving
career in data science; enabling you to stay
relevant and making you indispensable.
Furthermore, the advent and advancement in
Artificial Intelligence technology has
transformed the data science process as well.
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TOP 5 DATA SCIENCE CERTIFICATIONS
Applied Data Science with Python Specialization - University of Michigan
Learn to use Python for data science tasks such as data cleaning, analysis, and visualization.
Graduate Certificate in Data Science – Stanford University
A graduate-level certificate program that teaches students the skills and knowledge they need
to become successful data scientists.
®
Certified Lead Data Scientist (CLDS™) – USDSI
The United States Data Science Institute offers this certification for data scientists with
experience in leading and managing data science teams.
®
Certified Senior Data Scientist (CSDS™) – USDSI
This certification program is for data scientists with extensive experience in all aspects of data
science, including data engineering, machine learning, and statistical analysis.
Google Data Analytics Certificate
An online certificate program that teaches students the skills and knowledge they need to
become entry-level data analysts.
TOP 5 DATA SCIENCE DEGREE COURSES
Bachelor of Science in Computational Data Science - Georgia Institute of Technology
A program that combines computer science and data science to teach students how to develop
and implement data-driven solutions to complex problems.
Master of Science (SM) in Data Science - Harvard University
Enhance your capabilities in statistical modeling, computational science, machine learning,
optimization, and a wide range of application domains.
Bachelor of Science in Computer Science (Data Science Concentration) - Southeastern
Louisiana University - College of Science and Technology
The course integrates computer science, maths, and information technology to assist students
with data science concepts
Master of Science in Machine Learning - Carnegie Mellon University
The program focuses on machine learning, including topics such as supervised learning,
unsupervised learning, and reinforcement learning.
Master of Science in Data Analytics – University of Nevada
Data Science professionals learn data analysis, data visualization, predictions, and discoveries
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MAKE BIG
MOVES NOW!
Am I intrigued by statistics and programming?
Am I willing to constantly upskill?
Do I really enjoy solving problems?
If data science wasn't an extremely popular and lucrative option,
would I still go for it?
Source: data-flair.training
Ask yourself the right questions and dive right into building a lasting career in data science
with these easy steps. Fasten your career-strengthening game plan by leveraging the benefits
of reading books about all things data science, and beyond. Build strong data science models
and projects and ramp up your employability and portfolio enhancements with futuristic skills
for a greater data science career progression.
SKILL-UP-TO
LEVEL-UP!
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CERTIFIED
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