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Data scientist vs senior data scientist

The differences between data scientists and senior 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 data scientist and a senior data scientist. Additionally, a senior data scientist has an average salary of $124,093, which is higher than the $106,104 average annual salary of a data scientist.

The top three skills for a data scientist include python, data science and visualization. The most important skills for a senior data scientist are python, data science, and visualization.

Data scientist vs senior data scientist overview

Data ScientistSenior Data Scientist
Yearly salary$106,104$124,093
Hourly rate$51.01$59.66
Growth rate16%16%
Number of jobs106,973103,618
Job satisfaction--
Most common degreeBachelor's Degree, 51%Bachelor's Degree, 40%
Average age4141
Years of experience44

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 senior data scientist do?

A senior data scientist is responsible for overseeing the work of the junior data scientist and providing advanced expertise in mathematical and statistical concepts for the analytics and data department. You will perform various tasks, including outlining the work requirements, monitoring the performance of junior data scientists, and assigning tasks to them. Other typical duties include preparing non-technical reports detailing the limitations and successes of projects, providing recommendations on how insights might be utilized to inform business strategy, and keeping up-to-date on the latest trends and developments in data science.

Data scientist vs senior data scientist salary

Data scientists and senior data scientists have different pay scales, as shown below.

Data ScientistSenior Data Scientist
Average salary$106,104$124,093
Salary rangeBetween $75,000 And $148,000Between $90,000 And $170,000
Highest paying CityRichmond, CARichmond, CA
Highest paying stateCaliforniaWashington
Best paying companyThe CitadelBrex
Best paying industryStart-upStart-up

Differences between data scientist and senior data scientist education

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

Data ScientistSenior Data Scientist
Most common degreeBachelor's Degree, 51%Bachelor's Degree, 40%
Most common majorComputer ScienceMathematics
Most common collegeColumbia University in the City of New YorkColumbia University in the City of New York

Data scientist vs senior data scientist demographics

Here are the differences between data scientists' and senior data scientists' demographics:

Data ScientistSenior Data Scientist
Average age4141
Gender ratioMale, 79.6% Female, 20.4%Male, 86.5% Female, 13.5%
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, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage9%9%

Differences between data scientist and senior data scientist 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

Senior data scientist example responsibilities.

  • Administrate SharePoint database access; manage classified documents and applications.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Administer business intelligence systems and done business data analysis, visualization and reporting.
  • Develop MapReduce jobs in java for data cleaning and preprocessing.
  • Integrate internal and external data via API for cross platform marketing campaign evaluations.
  • Diagnose denial of service attacks and improve security using AWS security groups and network ACLs.
  • Show more

Data scientist vs senior data scientist skills

Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%
Common senior data scientist skills
  • Python, 14%
  • Data Science, 11%
  • Visualization, 5%
  • Java, 5%
  • Data Analysis, 4%
  • Hadoop, 4%

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