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Data scientist vs developer analyst

The differences between data scientists and developer analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data scientist, becoming a developer analyst takes usually requires 4-6 years. Additionally, a data scientist has an average salary of $106,104, which is higher than the $85,279 average annual salary of a developer analyst.

The top three skills for a data scientist include python, data science and visualization. The most important skills for a developer analyst are java, C++, and eclipse.

Data scientist vs developer analyst overview

Data ScientistDeveloper Analyst
Yearly salary$106,104$85,279
Hourly rate$51.01$41.00
Growth rate16%9%
Number of jobs106,973219,524
Job satisfaction--
Most common degreeBachelor's Degree, 51%Bachelor's Degree, 72%
Average age4143
Years of experience46

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.

What does a developer analyst do?

A developer analyst is an individual who is responsible for building application requirements and develops database solutions that allow operational efficiency and user-friendly tools. Developer analysts are required to develop a detailed definition of business solutions that can include database design, data flow, and transaction processing requirements. They work with other teams to design and implement a web application that manages internal processes and can result in increased productivity. Developer analysts are also required to perform integration tests for various vendors for services that are according to business requirements and testing processes.

Data scientist vs developer analyst salary

Data scientists and developer analysts have different pay scales, as shown below.

Data ScientistDeveloper Analyst
Average salary$106,104$85,279
Salary rangeBetween $75,000 And $148,000Between $64,000 And $113,000
Highest paying CityRichmond, CASeattle, WA
Highest paying stateCaliforniaDelaware
Best paying companyThe CitadelMeta
Best paying industryStart-upFinance

Differences between data scientist and developer analyst education

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

Data ScientistDeveloper Analyst
Most common degreeBachelor's Degree, 51%Bachelor's Degree, 72%
Most common majorComputer ScienceComputer Science
Most common collegeColumbia University in the City of New YorkStanford University

Data scientist vs developer analyst demographics

Here are the differences between data scientists' and developer analysts' demographics:

Data ScientistDeveloper Analyst
Average age4143
Gender ratioMale, 79.6% Female, 20.4%Male, 63.0% Female, 37.0%
Race ratioBlack 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%Black or African American, 9.8% Unknown, 5.0% Hispanic or Latino, 11.0% Asian, 17.8% White, 56.3% American Indian and Alaska Native, 0.2%
LGBT Percentage9%8%

Differences between data scientist and developer analyst duties and responsibilities

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

Developer analyst example responsibilities.

  • Manage API interfaces with third party platforms.
  • Implement the third party vendor's API to accomplish this effort.
  • Manage project requirements gathering, analysis, scope, design, development, QA, UAT resolution and providing ongoing support.
  • Create a completely automate and fully manage desktop management solution.
  • Manage communications- newsletter, SharePoint, calendars, meetings, executive presentations.
  • Administer and manage the document output solution and modernize ERP electronic documents.
  • Show more

Data scientist vs developer analyst skills

Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%
Common developer analyst skills
  • Java, 11%
  • C++, 7%
  • Eclipse, 5%
  • HTML, 4%
  • SQL Server, 4%
  • Architecture, 4%

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