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Game developer vs data scientist

The differences between game developers and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a game developer and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $91,009 average annual salary of a game developer.

The top three skills for a game developer include unity, game development and game engine. The most important skills for a data scientist are python, data science, and visualization.

Game developer vs data scientist overview

Game DeveloperData Scientist
Yearly salary$91,009$106,104
Hourly rate$43.75$51.01
Growth rate21%16%
Number of jobs173,596106,973
Job satisfaction--
Most common degreeBachelor's Degree, 75%Bachelor's Degree, 51%
Average age3941
Years of experience44

What does a game developer do?

Game developers are professionals who are responsible for designing and producing video games for computers, mobile devices, or game consoles by taking the concept of video game designers and turning them into playable games. By using their background in software development and mathematics, game developers must work with teams to create visual content for a game and writing code to implement all the game's features and functionality. They are required to handle new game feature requests and make improvements to the game even after production. Game developers must also demonstrate their skills in artificial programming intelligence for non-player characters.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Game developer vs data scientist salary

Game developers and data scientists have different pay scales, as shown below.

Game DeveloperData Scientist
Average salary$91,009$106,104
Salary rangeBetween $64,000 And $127,000Between $75,000 And $148,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMicrosoftThe Citadel
Best paying industryFinanceStart-up

Differences between game developer and data scientist education

There are a few differences between a game developer and a data scientist in terms of educational background:

Game DeveloperData Scientist
Most common degreeBachelor's Degree, 75%Bachelor's Degree, 51%
Most common majorComputer ScienceComputer Science
Most common collegeHarvard UniversityColumbia University in the City of New York

Game developer vs data scientist demographics

Here are the differences between game developers' and data scientists' demographics:

Game DeveloperData Scientist
Average age3941
Gender ratioMale, 87.7% Female, 12.3%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 30.0% White, 52.6% American Indian and Alaska Native, 0.2%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage8%9%

Differences between game developer and data scientist duties and responsibilities

Game developer example responsibilities.

  • Set up and manage Linux servers as well as configured and maintain HTTP servers.
  • Used Jenkins as the continuous integration environment to track code issues and manage tasks.
  • Source control, software life cycle management, and bug tracking are managed through TFS.
  • Manage continuous integration with Jenkins server instance.
  • Analyze and manage the project throughout SDLC, written/review specification documents.
  • Utilize dynamic HTML, CSS, and JavaScript to create website to showcase development of projects.
  • Show more

Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
  • Show more

Game developer vs data scientist skills

Common game developer skills
  • Unity, 12%
  • Game Development, 8%
  • Game Engine, 7%
  • Unreal Engine, 5%
  • Android, 5%
  • IOS, 4%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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