Data Science Educator information
See salary details
$10.10 - $12.87
4% of jobs
$12.87 - $15.65
13% of jobs
$16.80 is the 25th percentile. Wages below this are outliers.
$15.65 - $18.42
19% of jobs
The median wage is $20.06 / hr.
$18.42 - $21.20
23% of jobs
$23.56 is the 75th percentile. Wages above this are outliers.
$21.20 - $23.97
18% of jobs
$23.97 - $26.75
7% of jobs
$26.75 - $29.52
6% of jobs
$29.52 - $32.30
4% of jobs
$32.30 - $35.07
2% of jobs
$35.07 - $37.85
1% of jobs
$37.85 - $40.63
1% of jobs
How much do data science educator jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for data science educator in the United States is $22.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.52 per hour, depending on experience, location, and employer.
Data Science Educators are professionals who teach concepts, tools, and techniques related to data science, such as statistics, programming, and machine learning. They may work in academic institutions, online platforms, or corporate training environments to help students and professionals develop data-driven skills. Their responsibilities often include designing curriculum, delivering lectures or workshops, and mentoring learners to apply data science in real-world scenarios.
Data Science Educators often split their time between curriculum development, classroom instruction, and professional development activities. Staying current with rapidly evolving tools and methodologies is crucial, so educators frequently attend workshops, participate in online courses, and collaborate with industry professionals. Many institutions encourage or require educators to engage in continuous learning, which may include research projects or networking with data science practitioners. This balance ensures that students receive up-to-date, practical knowledge and that educators remain effective in a fast-changing field.
To thrive as a Data Science Educator, you need a solid background in statistics, programming (often Python or R), machine learning concepts, and typically a relevant degree or professional experience in data science. Familiarity with tools such as Jupyter Notebooks, data visualization platforms, and online learning management systems, as well as certifications like Microsoft Certified: Azure Data Scientist or IBM Data Science Professional Certificate, is valuable. Outstanding communication, patience, and the ability to break down complex topics into accessible lessons are crucial soft skills. These competencies enable educators to effectively teach and inspire diverse learners, ensuring students gain practical, industry-relevant skills.
To become a data science educator, one typically needs a strong background in data science, including skills in programming, statistics, and machine learning, often supported by a relevant degree such as a master's or Ph.D. Additionally, experience in teaching or training, proficiency with tools like Python or R, and the ability to communicate complex concepts clearly are important. Gaining certifications or completing specialized training can also enhance credibility in this role.
What cities are hiring for Data Science Educator jobs?
Cities with the most Data Science Educator job openings:
What states have the most Data Science Educator jobs?
States with the most job openings for Data Science Educator jobs include:
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