Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

What Makes a Data Scientist Stand Out?

byRick Delgado
August 14, 2015
in Articles

In a world dominated by big data, it stands to reason that many organizations are eagerly seeking out the best data scientists. With all this high demand, data scientists now have their work cut out for them to truly stand out from what is an increasingly crowded field. While it’s true that finding a data scientist job is not the most difficult task, it’s up to each individual data scientist to prove themselves. That means being the best at what they do and showing why they deserve a highly sought after position. With this in mind, data scientists can help themselves out tremendously by adopting certain skills and talents that will help differentiate them from others in the same career.

Programming

While it might not come as a surprise that data scientists need to know their way around computers, it still needs to be said that programming skills are an absolute must if they want to truly excel. Some data scientists can get by with only rudimentary understanding of programming techniques, mainly devoting themselves to viewing and analyzing the data that is collected, but for data scientists that want to get to the next level, they need to be able to manipulate that data as well. Programming skills give data scientists more control over the data collection and analysis process. At the same time, they can increase their worth by learning and mastering multiple programming languages such as SAS, R, Python, and many others.

Business Skills

While programming skills can certainly be valuable, data scientists can do harm to themselves if they ignore the business aspect of their careers. Every data scientist should take the time to develop business skills depending on the type of company they are working for. This includes gaining detailed knowledge on how the businesses they are in work and what role they play in improving them. Those with business knowledge will be able to work more closely with company executives. They can also show a greater level of dedication and interest in the success of a business. Developing the right blend of business skills often requires extra work, such as attending training sessions and reading up on company material. All that hard work can pay off in the end though.

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Communication

Of equal importance is the development of excellent communication skills. Big data analytics can be a complicated and complex concept for the layman to understand, so it’s up to data scientists to possess the communication skills necessary for those within the business to grasp how it can be used and the roles big data can play. Data scientists need to learn how to translate findings from big data analytics into how it meets specific business needs. Many executives won’t care much for the minutiae of analytics tools, and much of the big data jargon will simply fly over their heads. Framing big data in its impact on marketing or sales, though, makes it that much easier to understand. Talking about big data is only part of the equation, however. Data scientists also need to learn how to listen to what the business side is saying and learn how to meet their expectations.

Intellectual Curiosity

Data scientists can also show their increasing value by demonstrating a desire to learn and grow. Intellectual curiosity is always looked upon positively, and this can extend not just to getting to know more about business but about data processes as well. The average data scientist will look at data on the surface and use it, but the data scientist that wishes to stand out will always look deeper into the data, finding new patterns and trends that may be missed by only casual observance. Data scientists seeking to improve this skill will be best served by keeping an open mind about big data analytics and always going one step further than might be required.

When all is said and done, data scientists that take the time to develop added skills and talents will find themselves head and shoulders above their peers. Some data scientists may even become tech experts within their own companies, with people coming to them with questions ranging from what is flash storage to the finer details of big data analytics and cloud computing.

Right now, data scientists find themselves in an envious position where their skills are in high demand while their numbers are in low supply. It won’t be this way forever, though, so they need to work now to gain the skills that put them at a different level than the rest.


Rik DelgadoRick Delgado- I’ve been blessed to have a successful career and have recently taken a step back to pursue my passion of freelance writing. I love to write about new technologies and keeping ourselves secure in a changing digital landscape. I occasionally write articles for several companies, including Dell.


(image credt: Davidlohr Bueso)

Tags: BusinessCareerData ScientistProgrammingsurveillance

Related Posts

From imaging to staffing: 5 ways AI is changing healthcare

From imaging to staffing: 5 ways AI is changing healthcare

October 5, 2025
AI agents are here—Make them your media-buying back office

AI agents are here—Make them your media-buying back office

October 5, 2025
DOT Miners Combine XRP and DeFi to Earn with a Passive Income Model, Bringing Crypto to a Head

DOT Miners Combine XRP and DeFi to Earn with a Passive Income Model, Bringing Crypto to a Head

September 24, 2025
Best ELD devices and fleet management tools 2025: Top picks for trucking companies

Best ELD devices and fleet management tools 2025: Top picks for trucking companies

September 18, 2025
Zen Media and Optimum7 Merge to Create AI-Native Growth Agency: Why Data Is at the Core

Zen Media and Optimum7 Merge to Create AI-Native Growth Agency: Why Data Is at the Core

September 18, 2025
How wedding photographers save hours with SoftOrbits batch editing

How wedding photographers save hours with SoftOrbits batch editing

September 11, 2025
Please login to join discussion

LATEST NEWS

Your Echo Show’s photo frame is now just another ad delivery system

Microsoft’s answer to OpenAI’s data centers: An AI factory

OpenAI says its new GPT-5 models are 30% less politically biased

Patent: Samsung Galaxy Z tri-fold uses 3 separate batteries

Intel’s comeback plan begins with a new US-made 18A processor

Microsoft: Cyber gang hijacks university salaries via Workday accounts

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.