What is the career path for a data scientist?

• Computer Science

• Statistics

• Information Technology (IT)

• Mathematics

• Other related fields

Data scientists benefit from many different certifications. Here are the two most helpful certifications:

• Data Science Certification (DSC) offered by Dell

• Azure Data Scientist Associate offered by Microsoft

There are many entry roles for potential data scientists including:

• Junior data scientist

• Statistician

• Business intelligence analyst

• Data Engineer

Pursuing a relevant master's degree or even a doctoral degree in data science can benefit your career greatly and open you up to senior-level positions at tech and finance companies.

This isn't a requirement, but it can help you attain the jobs with the highest-paying salary on the data scientist career path.

Essential skills needed to be a data scientist include:

• Math

• Communication

• Analytical

• Time management

• Computer

• Technical knowledge

Here are brief descriptions of some of the most common jobs on the data scientist career path:

• Data Scientist

  A data scientist is a tech professional that aims to get insights from structured and unstructured data. They review figures and statistics to try and gain insights and come to conclusions.

  They also write high-level code with Python or R and often use BI tools for data analysis and visualization. Data scientists are considered builders. They are tasked with analyzing and understanding specific business problems, feature engineering, and developing, selecting, and tuning models.

  They also generate insights to present to stakeholders.

• Data Engineer

  A data engineer seeks to make raw data usable for other colleagues, such as business analysts, so that they may implement the information for company decisions.

  Data engineers have duties like gathering data sets that line up with business goals and needs, creating algorithms to transform data into valuable information, and creating, testing, and maintaining database architectures.

• Statistician

  Statisticians examine specific sets of data and apply business models to them. They study and try to solve organizational issues in a company through the use of statistics. Once they have determined which data they need to resolve a specific issue, they utilize surveys and different kinds of experiments to gather information.

  Statisticians use industry-standard concepts in their analyses, but also create new theories, rules, and models if necessary.

  Once a statistician is done with their analysis, they translate the new information into reports for executives at their companies to help with decision-making and strategy options.