Job Summary

Purdue Global is seeking a passionate and experienced Adjunct Online Professor – Data Science to join our dynamic faculty team. This remote teaching opportunity offers you the chance to educate and inspire a diverse body of learners across the globe. The ideal candidate will have a strong foundation in data science, machine learning, statistics, and programming, combined with the ability to communicate complex concepts in an engaging and accessible manner. As an adjunct faculty member, you will play a crucial role in helping students build their technical expertise and prepare for successful careers in the data-driven economy.

Key Responsibilities

• Deliver engaging, interactive, and high-quality online instruction in Data Science courses using Purdue Global’s virtual learning platform.

• Design, update, and maintain course content to ensure alignment with academic standards and industry trends.

• Foster an inclusive learning environment that encourages participation, critical thinking, and collaboration.

• Assess student performance through assignments, projects, and examinations, providing timely and constructive feedback.

• Mentor and guide students in developing analytical, programming, and problem-solving skills relevant to data science careers.

• Collaborate with academic teams and contribute to curriculum development initiatives.

• Stay up to date with the latest developments in data science, AI, and analytics to enhance teaching materials.

• Maintain professional and ethical standards consistent with Purdue Global’s academic mission.

Required Skills and Qualifications

• Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.

• Demonstrated teaching experience at the college or university level, preferably in an online environment.

• Proficiency in programming languages such as Python, R, or SQL.

• Strong understanding of data visualization tools and machine learning frameworks.

• Excellent communication and interpersonal skills to engage and motivate students.

• Ability to adapt teaching strategies for learners with varying levels of experience.

• Familiarity with online learning management systems (LMS) and virtual teaching tools.

Experience

• Minimum of 2–5 years of professional experience in data science, analytics, or a related technical field.

• Prior experience in higher education or corporate training preferred.

• Experience with real-world data projects, including data cleaning, modeling, and deployment, is highly desirable.

Working Hours

• Flexible, part-time remote position.

• Course scheduling may vary, with some synchronous and asynchronous sessions.

• Faculty are expected to respond to student inquiries and provide feedback within established timeframes.

Knowledge, Skills, and Abilities

• Deep understanding of statistical analysis, data wrangling, machine learning algorithms, and data storytelling.

• Ability to explain technical topics in clear, concise, and relatable terms.

• Commitment to continuous improvement in teaching methodologies and technologies.

• Strong organizational and time-management skills.

• Dedication to academic excellence and student success.

Benefits

• Work remotely from anywhere with a stable internet connection.

• Competitive compensation per course taught.

• Access to professional development resources and training programs.

• Opportunity to contribute to a respected, accredited university with a strong online presence.

• Networking and collaboration with an experienced global academic community.

Why Join Purdue Global

At Purdue Global, we are redefining higher education through innovation and accessibility. Joining our team means becoming part of a prestigious institution that values excellence in teaching, continuous learning, and student success. As an adjunct professor, you will have the opportunity to shape the future of data science education while enjoying the flexibility of remote teaching and the support of a collaborative academic environment.

How to Apply

Interested candidates should submit the following through Purdue Global’s online career portal:

1. A detailed resume/CV highlighting relevant academic and professional experience.

2. A cover letter outlining your teaching philosophy and interest in Data Science education.

3. References or evidence of prior teaching experience (if available).

Applications will be reviewed on a rolling basis. Shortlisted candidates will be contacted for a virtual interview.