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Trainee Data Science Instructor Jobs (NOW HIRING)

Responsibilities Noblis is seeking a Data Scientist/Instructor in Springfield VA. This role will ... The candidate shall demonstrate solid data science tradecraft skills and an understanding of how ...

We advise our trainees not to wait till the next class to seek answers to any technical issue ... Training sessions are conducted by real-time instructor with real-time examples. Every training ...

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How much do trainee data science instructor jobs pay per year?

As of May 30, 2026, the average yearly pay for trainee data science instructor in the United States is $58,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $67,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Trainee Data Science Instructor jobs? Cities with the most Trainee Data Science Instructor job openings:
What are the most commonly searched types of Data Science Instructor jobs? The most popular types of Data Science Instructor jobs are:
What states have the most Trainee Data Science Instructor jobs? States with the most job openings for Trainee Data Science Instructor jobs include:
Infographic showing various Trainee Data Science Instructor job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 100% Physical job distribution, with an average salary of $58,714 per year, or $28.2 per hour.
Data Science Instructor - Pool - UCLA Extension

Data Science Instructor - Pool - UCLA Extension

University of California, Los Angeles

Los Angeles, CA • On-site

Other

Posted 7 days ago


Job description

Position description
UCLA Extension is considered one of the top programs of its kind, offering to more than 35,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education, and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region.
Course / Program Description
UCLA Extension is considered one of the top institutions of its kind, offering to more than 32,000 students per year approximately 4,500 classes and non-degree certificate programs to meet the professional development, continuing education and personal enrichment needs of the full spectrum of nontraditional students as well as companies and organizations throughout and beyond the Los Angeles region.
The Engineering and Computer Science Academic Unit offers a wide variety of certificate programs and courses including post-baccalaureate credit-bearing (400-level) and continuing education (CEU) credit courses. Course disciplines span engineering, computer science and technical management subject areas. UCLA Extension courses and certificate programs offer students the opportunity to learn from highly qualified practitioners who hold advanced degrees and are passionate about teaching and can impart knowledge within their field of expertise.
UCLA Extension is seeking experienced professionals to serve as Part-Time Instructors for courses within our Data Science and Data Engineering certificate programs. This role requires in-person instruction at our Westwood or Downtown Los Angeles (DTLA) campuses. We are looking for passionate subject matter experts who can translate complex, real-world data challenges into an engaging and effective learning experience for adult students.
Job Description
The current opening is for our Data Science & Data Analytics courses. Qualified applicants possessing current knowledge and teaching experience in this area are encouraged to apply.
Applications to teach are accepted throughout the year to fill immediate program needs and to increase the depth of the instructor pool. We are looking for instructors to teach the following courses:
• Data Science Fundamentals
• Data Engineering
• Big Data Management
• Machine Learning System Design
• Python Programming
• Cloud Computing
• Exploratory Data Analysis and Visualization
• Data Modeling and Datastore Design
• Data Pipeline Architecture
Instructor Duties:
The primary responsibilities of the instructor are to ensure a high-quality, engaging, and relevant educational experience for students.
Curriculum Development:
  • Develop and/or update existing course syllabus in consultation with the UCLA Extension Program Director using the approved syllabus template.

Course Delivery & Preparation:
  • Prepare course materials (e.g., lectures, readings, assignments) and learning assessments (quizzes, projects) in the learning management system, Canvas.
  • Clearly communicate and teach the course objectives and the specific learning outcomes to students. Student Engagement & Support:
  • For 100% online instructional mode, hold once a week online office hours via Zoom for students to optionally participate to cover course-related topics and Q/A.
  • Maintain weekly, and preferably daily, interaction with students' discussion posts on Canvas to promote high engagement and collaboration for an optimum learning experience.
  • Respond to student questions and learning needs in a timely manner. Assessment & Grading:
  • Review students' progress through the course and assign timely grading of all coursework.
  • Enter final letter grades in the required portal at the end of each academic quarter.

General Employment Information
Employment as a UCLA Extension Instructor is dictated by contract terms and conditions. Please take the time to read the UCLA Extension Instructor Employment Policies
For information on UCLA Extension instructor benefits, please visit Pay, Benefits, & Privileges .
Program: https://www.uclaextension.edu/computer-science/data-analytics-infrastructure/certificate/data-science
Instructor Resources: https://instructor.uclaextension.edu/
Qualifications
Basic qualifications
Education: A minimum of a master's degree in Data Science, Computer Science, Statistics, or a closely related quantitative field.
Experience: A minimum of 10 years of recent, practical, professional experience working as a Data Scientist, Data Engineer, or in a similar advanced analytics role.
Technical Expertise (Must be proficient in at least two areas):
Data Science: Machine learning (e.g., Python/R, scikit-learn, TensorFlow, PyTorch), statistical modeling, and data visualization.
Data Engineering: Cloud data platforms (e.g., AWS, Azure, GCP), ETL/ELT pipeline design, distributed processing (e.g., Spark, Hadoop), and advanced SQL/NoSQL databases.
Teaching/Training: Prior teaching or training experience with adult learners in a corporate or academic setting is highly desirable.
Application Requirements
Document requirements
  • Curriculum Vitae/Resume - Your most recently updated Curriculum Vitae/Resume
  • Cover Letter

Reference requirements
References are requested from candidates after the interviewing stage, and references are only contacted for finalists via SkillSurvey system.
Apply link: https://recruit.apo.ucla.edu/JPF10736
Help contact: ehr@unex.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Los Angeles, CA