Data Scientist

What is a data scientist?

A data scientist is a person who uses advanced statistical and computational methods to extract insights and knowledge from large and complex data sets.

The role is typically part of a research and development department. The main objective of a data scientist is to help organizations make data-driven decisions that improve business outcomes, enhance customer experiences, and drive innovation.

At The Org, we believe in increasing transparency in recruitment and hiring. That’s why we strive to make it easier for top talent to find where they fit in. Explore more than 400,000 organizations, and stay up to date with open positions with The Org.

In conclusion, a data scientist plays a key role in establishing loyal relationships that are mutually beneficial for a company and its customers.

At The Org we have analyzed the organizational structure of tens of thousands of companies. As a result, we’ve collected information on the typical salary range, job requirements, and typical profiles of who currently works as a data scientist.

Let’s take a look at the data.

How much does a data scientist make?

According to Glassdoor, the average salary of a data scientist across industries in the United States is $126,051/yr.

However, not all industries are created equal. According to the data, the highest average salary for a data scientist is found in the personal consumer services industry: $132,943/yr.

What are the job requirements of a data scientist?

The job requirements for a data scientist typically include:

• A master's degree in data science, computer science, statistics, mathematics, or a related field.
• Proficiency with data analysis techniques such as data mining, mathematics, and statistical analysis.
• Familiarity with programming languages such as Python, R, and SQL and the ability to work with big data frameworks such as Hadoop, Spark, or MapReduce.
• A keen eye for detail and the ability to identify and correct errors or anomalies in their data.
• A basic understanding of business principles and the ability to translate data insights into actionable business recommendations.
• Strong communication skills and the ability to communicate complex analytical findings to non-technical stakeholders in a clear and concise manner.

Data scientists in the Wild

It’s one thing to know the requirements of a role — it’s another to see what that role looks like in the wild. At The Org, we believe that putting a face to the job title and seeing for yourself where the role fits into the company makes it much easier to picture yourself in it.

Where in the company hierarchy does data scientists fit in? Who are their closest team members, and who do they report to? What career growth opportunities does data scientists have within the company structure?

We’re here to help you answer those questions. Explore live positions for data scientists and see the role in the wild here.

Hiring a data scientist

Is your org looking to hire a data scientist?

If so, you may benefit from reading our comprehensive 10-step guide on recruitment and hiring. In this guide, you’ll learn all about the hiring process. From writing your job description, to developing candidate sourcing strategies, to common interview questions, to writing a job offer letter — we’ve got you covered from start to finish.

At The Org, we believe traditional recruiting is in need of a refresh. Candidates want to know who they’ll work with, not just what they’ll do. Workplace culture, interpersonal relationships, and company values are more important now than ever.

And what better way to showcase your company’s unique culture than through your Org Chart?

Highlight different teams in your organization, the people that make these teams great, and show candidates how they fit into the big picture.

Your Org Chart is a novel and effective way to show candidates where they fit in, and to show off your greatest asset: your people.

Explore Org Charts here, and sign up today to create your own customized Org Chart for your company.