“Not everything that can be counted counts, and not everything that counts can be counted.”
Albert Einstein, Physicist
This is a quote by the famous Albert Einstein. During his days, he already foresaw how will data play an important role in the decision making
of every business and institution today.
These data are so essential, making professionals such as Data Scientists, rank as one of the top-rated jobs you can do remotely nowadays. (see Top 7 Milwaukee Jobs You Can Do Remotely in 2020)
This article will be a good read for everyone. May it be a Hiring Manager, a Jobseeker, or anyone who is interested in getting to know what a Data Scientist is all about. We’ll be providing you in-depth answers to three(3) Major Questions below.
1. Who are they? (A Job Overview)
A Data scientist makes value out of data, making it beneficial to the company or institution. They are also known as data professionals who can organize and analyze huge amounts of data or large datasets. These roles are usually mixed up with data engineers and data analysts. The simplest way to differentiate these three roles is that Data Analysts, who are entry-level data professionals, focus more on numerical data, while Data Engineers are experienced Data Analysts who are involved in preparing data. On the other hand, Data Scientists are skilled data professionals who analyze and interpret complex digital data. (See Data Analyst vs Data Engineer vs Data Scientist)
2. What do they do? (The Job Description)
With the demand of these marketable roles in different job postings, it’s important to know what they are actually responsible for.
Basically, these professionals are responsible for the following Data Science Process:
- Identify areas of opportunities- translating your client’s request into a well-defined problem.
- Collect of unstructured data from different data sources.
- Process raw data(Data Wrangling)- cleaning up and organizing the data, ready for analysis.
- Perform Data analysis using the below methods:
- machine learning( is a method of data analysis that automates analytical model building)
- statistical models(the use of statistics to build a representation of the data)
- algorithms(a process or set of rules to be followed)
- Transform data towards the solution(data management solution or big data solution).
- Communicate and Implement the result for better business decisions and Data visualization.
In addition to the above process, they are also expected to do the following roles:
- Create A/B testing (split testing) is a powerful tool used in product development. It is considered as the simplest form of a controlled experiment.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
3. What are they like? (The Job Specification)
Now, the last question is what makes who they are in the workforce. Below is a list of requirements and Must-Haves of these data professionals:
- Finished Bachelor’s Degree or Master’s Degree in Statistics, Applied Math, Computer Science, or Economics.
- Has earned mastery or expertise on below Technical skillsets:
- Familiarity with statistical computer languages(Python, SLQ), Programming Languages (Java, C++, Python, R) databases like SQL, machine learning, and reporting technologies.
- Experience with data mining techniques(GLM or Regression, Random Forest, Boosting, Trees, text mining, social network analysis), and data analytics.
- Build and implement models, use, create, and run algorithms and simulations.
- Has in-depth experience in using below Data Science Tools:
- SAS(Statistical Analysis System)
- Microsoft Excel
- Scoop & Flume
- Knowledgeable in Programming skills
- Profound Statistical techniques and problem-solving skills
- Has proficiency in written and verbal communication skills
Above is the 3 common questions that needed to be answered to give you an idea of what these professionals are all about.
For Jobseekers who are in search of remote job opportunities, click HERE
Below is a list of Goodreads to help you either land on your dream job or find the perfect candidate:
“Data are just summaries of thousands of stories – tell a few of those stories to help make the data meaningful.”
Chip & Dan Heath, Authors of Made to Stick, Switch
Hire The Best Data Scientists with Ease