In today’s dynamic data science world, what you learn can be outdated within a few months. The tools, the methods, even the ideas are being invented daily. So how do you keep up? One effective way to do that is by following the right people on LinkedIn.
These professionals are here to share field-level perspectives, actionable tips, and industry news that can tailor your career. Did you know that the employment of data scientists is expected to increase by 34 percent between 2024 and 2034, which is significantly higher than the growth of all other occupations. (U.S. Bureau of Labor Statistics)
Below are the top 10 Data Science LinkedIn influencers to follow in 2026.
Data Science Influencers To Follow on LinkedIn
|
Influencer |
About Them |
Why to Follow Him/Her |
|
Daliana Liu |
Daliana Liu’s voice has become a trusted guide for freeing those who want to understand advanced machine learning from the weirder side of the internet. She breaks down complex topics in easy language, making AI accessible to all. |
She has a way of explaining technical topics in a manner that makes learning feel effortless, and this skill can give you a great edge during your Data Science Interview. |
|
Kristen Kehrer |
Kristen Kehrer (a.k.a. “Data Moves Me”) specializes in teaching beginners how to get off the ground floor. She offers practical tips on tools, portfolio projects, and grasping how data teams operate. Her posts help bring technical learning down to Earth. |
If you're new, Kristen is really there to build your self-confidence and give you some more momentum, as well as create a clear path to learning Data Science. |
|
Andrew Jones |
Andrew Jones, the founder of Data Science Infinity, combines career advice with solid technical explanations. He frequently writes on the subject of feature engineering, model strategies, and real-world uses of AI. |
His content will reinforce your technical foundation, which is indispensable should you aspire to become an advanced role or be among the top 10 data scientists in the world. |
|
Megan Lieu |
Megan Lieu shares important insights into what it’s really like to work in data. She covers the skills employers really want, how teams work, and what it takes to build growth that lasts. |
She provides a transparent view into how hiring managers think, and so all of these posts are valuable for anyone who is doing interview prep for a Data Science job. |
|
Sundas Khalid |
Sundas Khalid works in data science at Google and gives an in-depth look at solving real-world problems that are happening on the scale of hundreds of millions. Her articles typically discuss analytics tactics, team processes, and leading with data. |
She gives a peek into how the best in business are thinking about data, something that can be very valuable when you are trying to get hired for a job in data science. |
|
Monica Kay Royal |
Monica Kay Royal devotes much of her work to the ethical side of data science: topics like bias, representation, and responsible AI. She is also an advocate for diversity and inclusion in data-related professions. |
With companies focusing more and more on ethical data usage, opinions like hers are going to be increasingly valuable for professionals like us who want to stay on top of the Data Science game. |
|
Richad Nieves-Becker |
Richard Nieves-Becker can integrate technical understanding of AI and analysis of AI trends. His posts on responsible machine learning practices, upcoming tools, and long-term implications of technology are insightful. |
He encourages critical thinking, something that is crucial when generating balanced solutions and progressing throughout your career. |
|
Avery Smith |
Avery Smith is the founder of “Data Career Jumpstart,” a channel aimed at making data jobs more accessible (program status may have changed recently; check his profile for the latest). |
He is all about the action, in particular, helping you bridge the gap between learning and getting your first job in data science. |
|
Alex Freberg |
Also known as “Alex The Analyst,” Alex Freberg is known for his clear tutorials and no-nonsense style when it comes to using analytics tools. He teaches SQL, Power BI, and Data Storytelling through projects. |
His tutorials are great for polishing technical skills and gaining confidence to handle real-world jobs. |
|
Nick Singh |
Nick Singh is widely respected for his real-world data career advice and SQL questions. He has also worked at Google, Facebook, and Microsoft. He is the coauthor of Amazon #1 Best Seller (Ace the Data Science Interview) and founder of DataLemur. |
His content is a step-by-step guide on how to grow in your career and differentiate yourself from other candidates. |
Why Following Data Science Influencers Matters
In data science, you have to possess knowledge, but you have to be headed in the correct direction. By following these influencers, you will keep up with the latest trends, get access to more effective learning materials, and learn how to address the genuine issues of the industry. They have been the result of years of practical experience and thus serve as potent guides to novices and the seasoned professional.
You want to perform better in your next Data Science Interview, build your network, or be one of the top 10 data scientists in the world. These thought leaders can provide you with some of the best insights.
Conclusion
The Data Science world is dynamic, and to keep pace with it, one has to learn the best. With these 10 LinkedIn influencers, you are bound to be informed, you will have some useful tips, and a better idea of what makes this field move. Begin following them today, sharpen your skills, and get the next big data science opportunity.
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