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Data Science Teaching Jobs in Texas (NOW HIRING)

Fort Worth ISD

Director, Science

Fort Worth, TX · On-site

$118K - $142K/yr

... teachers to deeply internalize content and deliver instruction effectively. Supervises science ... Analyzes instructional and program data to evaluate progress toward goals and identify areas for ...

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All JobsData Science Teaching JobsData Science Teaching Jobs in Texas

Data Science Teaching information

See Texas salary details

$21.9K

$53.5K

$71.3K

How much do data science teaching jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science teaching in Texas is $53,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $57,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data science educators, and how can they be addressed?

Data science educators often encounter the challenge of teaching students with varied backgrounds, as classes may include individuals with differing levels of programming, statistics, and domain expertise. To address this, instructors can offer foundational resources, use real-world case studies to illustrate concepts, and foster collaborative learning through group projects. Additionally, keeping curriculum up-to-date with rapidly evolving tools and techniques is essential, which can be managed by regularly reviewing industry trends and integrating new technologies into coursework. Creating a supportive learning environment and offering personalized feedback also help students stay engaged and succeed.

What is data science teaching?

Data science teaching involves instructing students or professionals in the principles, tools, and techniques of data science. This includes topics such as statistics, programming (often in Python or R), data visualization, machine learning, and data analysis. Data science teachers can work in universities, bootcamps, online platforms, or corporate training environments. Their goal is to help learners acquire practical skills to analyze data and make data-driven decisions in various industries.

What are the key skills and qualifications needed to thrive as a data science teacher, and why are they important?

To thrive as a Data Science Teacher, you need strong expertise in statistics, machine learning, and programming (commonly Python or R), typically supported by an advanced degree in a quantitative field or relevant industry experience. Familiarity with data analysis tools such as Jupyter Notebook, Tableau, and cloud platforms, along with teaching certifications or experience with Learning Management Systems (LMS), is highly valuable. Excellent communication, patience, and the ability to break down complex concepts are crucial soft skills for engaging and supporting diverse learners. These skills ensure students receive clear, practical instruction and are well-prepared for real-world data science challenges.

How to become a data science teacher?

To become a data science teacher, you typically need a strong background in data science, including skills in programming, statistics, and machine learning, often demonstrated through a relevant degree or certifications. Experience in teaching or training, along with proficiency in tools like Python, R, or SQL, is also important. Building a portfolio of projects and gaining teaching experience can help qualify for educational roles in academic or corporate settings.

What is the difference between Data Science Teaching vs Data Analyst?

AspectData Science TeachingData Analyst
Required CredentialsTypically requires a degree in data science, education, or related fields; certifications like Certified Data Scientist are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are beneficial
Work EnvironmentEducational institutions, online platforms, corporate trainingBusiness environments, companies, agencies, and organizations
Industry UsageUsed in academia, online education, corporate training programsApplied in business analytics, market research, and operational decision-making

Data Science Teaching focuses on educating students or professionals about data science concepts, often in academic or training settings. In contrast, Data Analysts apply data analysis skills directly to business problems, interpreting data to inform decisions. While both roles require strong analytical skills, their primary functions and work environments differ significantly.

What are the most commonly searched types of Data Science Teaching jobs in Texas? The most popular types of Data Science Teaching jobs in Texas are:
Data Science Teaching jobs near you
Infographic showing various Data Science Teaching job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,489 per year, or $25.7 per hour.

Secondary Science Teacher

Refugio Independent School District

Refugio, TX

$41K - $53K/yr

Full-time

Re-posted 25 days ago

Job description

Qualifications:

  • Bachelor's degree from an accredited college or university
  • Valid Texas Teaching Certificate in Secondary Science (or appropriate certification)
  • Strong classroom management and organizational skills
  • Ability to work collaboratively with colleagues and administration
  • Excellent communication skills

Preferred Qualifications:

  • Experience teaching at the secondary level
  • ESL certification or ability to obtain
  • Knowledge of differentiated instruction and data-driven instruction


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