Data Scientist

What Does It Take to be an Excellent Data Scientist?

 

Going along the modernity of technology and the rise of big data comes a new job title called “data scientist”, a new profession that has evolved from a traditional data analyst role to a more inquisitive, more analytical role.

Data science needs a good blend of science and art, says Anmol Rajpurohit, an indepenThe rise of big data comes a new job title called “data scientist”.dent data scientist and consultant. The science portion obviously refers to mathematics, computer literacy, and programming, among other things. Equally significant is the art part, which refers to one’s creativity, ingenuity and profound circumstantial understanding. Putting these two factors together makes one a great convergent thinker.

Their role and significance make data scientist more in demand now.

What does it take to shine as a data scientist?

  1. The Basic Skills – Starting with basics, a data scientist requires a strong foundation in mathematics including multivariable calculus, linear algebra and partial differential equation (PDE). Excellent mathematical skills are instrumental in understanding probability theory, computer science and machine learning. For one, matrix algebra is a must to be able to comprehend many concepts in machine learning. Some background in programming is also required, such as Python, which is considered by many as one of the most important languages for a data scientist to learn.
  2. Fast learner – Being a fast learner is the most important attribute for a data scientist, according to Anmol Rajpurohit. In this age of rapid technology advancement, some programming languages quickly become obsolete while new ones swiftly become popular. Therefore, it pays a lot to be a fast learner than to be an expert in any particular programming language.
  3. Experience – Like in other professions, years of practical experience applying what you have learned in school is essential to excel in this field. These experiences go beyond the extracting of data out of MySQL databases, producing data visualizations such as graphs and charts, cleaning data or managing dashboards about your company’s business.
  4. Strong business acumen – With a deep understanding of the entire business from sales, marketing, pricing, distribution, operations, finance, etc., a data scientist is able to deliver valuable analyses and recommendations enabling business leaders to make appropriate decisions. But more than just addressing business issues, an excellent data scientist identifies the right problems that are most valuable to the organization.
  5. Being inquisitive – An excellent data scientist explores and asks questions, actively performs “what if” analysis, and then communicates the results and recommendations to the business leaders.
  6. Right personality – It takes more than education and boot camps to be a successful data scientist. One’s personality adds to the matrix as well – being innately curious, determined and always wants to figure things out — that does well to the role of a data scientist, according to Roy Lowrance, managing director of New York University’s new Center for Data Science.

Four Cornerstone can help you get on the door to data science and put analytic models to work. Our Oracle consulting in Dallas will help you leverage on the data scientist role to work in your business. Contact us now!

Photo by Christoph Scholz.

Uncategorized

Performance Boost in MySQL 8.0.35…

Oracle has recently published interesting performance numbers that show MySQL 8.0.35 Enterprise Edition about 25%, or higher, faster than MySQL Community Edition.   A great...

Keep Reading

Uncategorized

Security Trends For 2024: SBOMs

A recent article on Forbes, linked below, lists five security trends that are likely to be important in 2024. Of course, AI-related security topics top...

Keep Reading

Uncategorized

Getting started with your first…

Anyone looking at writing their first Generative AI application should read this to save time. In June 2023, Google Cloud published a useful blog post,...

Keep Reading

Uncategorized

Read-Write and Read-Only query splitting…

Optimize the usage of the standby (secondary) read-only MySQL InnoDB Cluster servers by automatically and transparently distributing read-queries to them. A great feature in MySQL...

Keep Reading

Uncategorized

Considering Cloud Diversification?

Moving an enterprise to a Public Cloud can quickly feel like moving into a locked-in relationship with the Cloud vendor. One solution to diminish this...

Keep Reading

Uncategorized

Gartner: Global cloud consumption will…

Gartner forecasts that 2024 will see a 20% global cloud consumption increase from 2023 to $679B, while 2023 has seen an 18% increase from 2022...

Keep Reading

Uncategorized

ByteDance: Use AI for tuning…

ZDNet is reporting that a ByteDance (the maker of TikTok) Linux kernel developer has proposed to implement AI to tune the performance of Linux systems...

Keep Reading

AI Governance

What is AI TRiSM?

If reading now about AI TRiSM for the first time, it might be good read on and learn what it’s about because it leads the...

Keep Reading

Cloud Blog

4 Ways To Benefit from…

One of the benefits you get when you work with cloud applications is that you often have quarterly updates that are packed with features. This...

Keep Reading

Artificial Intelligence

Data and Analytics: Cross the…

  Artificial intelligence is a manna sent from digital heaven. That’s how blessed your business can get if you immerse into the AI of things....

Keep Reading

Live Chat | Emergency