Everything You Need to Know About Being A Data Scientist

March 23, 2022


phone, fintech notebook, and coffee cup on table, with a hand over the notebook with a pen.

Data Science is a leading topic for 2022. The positions for a data scientist are increasing quickly, with high pay rates and plenty of opportunities. Let’s look at the job, the experience needed, and the characteristics that would be good for the job.

At Tech One IT, we work with companies nationwide to provide IT Solutions and IT Staffing. Our services include Data Scientists. In addition, many of our Tech One IT technology apprentices gain experience working on data science projects. If you are interested in working for us or hiring through us, please contact us by clicking this link: https://techoneit.com/contact/ 

What Duties Are Expected of a Data Scientist?

A Data Scientist, or Data Science Professional, is responsible for overseeing the collection, storage and interpretation of data for businesses. Their duties include sifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions or proposals.” (Indeed.com)

To be successful, a data scientist must be able to collect data through automated processes, using an AI-derived model, usually on a platform such as ServiceNow, Salesforce, Netsuite, or similar. 

Data Scientists Collaborators

The reporting factor of a data scientist is vital to the organization’s success. Often, the abundance of data causes a bottleneck, meaning that a company’s leadership is unable to use the data collected to project and predict the company’s future. In these situations, it can be valuable for a data scientist to collaborate with others that can translate the data into an actionable report. 

What Qualifications Are Needed To Become A Data Scientist?

Technical Qualifications: 

According to Indeed.com, these are the technical skillsets needed for a data scientist:

  • Ability to communicate complex data in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project or study
  • Analytical and problem-solving skills
  • Experience with machine learning and AI
  • Familiarity with data management tools

Non-Technical Expectations: 

While technical skills are important, most organization will put equal stock into the characteristics of their employees, to be sure they are a good fit for the company. These are the characteristics that will be needed to succeed in the job:

  • A collaborative mindset.
    Can you work well with others and accept ideas other than your own? How do you handle having your work edited? 
  • Good communication skills.
    You will need to present information to people in other departments. The ability to translate complex ideas into easy-to-understand information is vital. 
  • Loyalty.
    The collection of the data can help the company grow. It can also help to spot issues before they become full-blown problems. To help the company through data, you need to be committed to the company’s success. 
  • Creativity.
    Being able to devise ways of speeding up the process, whether that means creating reports faster, or delivering information automatically, can be extremely advantageous. 

Data science is fast becoming one of the most important roles at fast-growing organizations. Check out our jobs if you’re looking to get involved in data science: https://techoneit.com/careers/

Talk to sales

Interested in hiring? Just pick up the phone to chat with a member of our sales team. 480-449-3333

If you prefer, you can email us: contact@techoneit.com

Reach our customer support team

4 + 8 =