Job Description
We are seeking a dynamic and dedicated Lecturer in Data Science and Analytics to join our prestigious faculty at Summit University's College of Computer and Mathematical Sciences, located in the heart of historic Boston, MA. This is a full-time, non-tenure track position focused on delivering exceptional undergraduate and graduate education. The successful candidate will possess a passion for teaching, a deep understanding of core data science principles, and the ability to bridge theory with practical, real-world applications. You will play a pivotal role in shaping the next generation of data professionals, leveraging Boston's vibrant tech ecosystem to provide students with unparalleled learning experiences. Join a collaborative community committed to academic excellence, innovation, and student success.
Responsibility
- Deliver high-quality, engaging lectures and hands-on lab sessions in data science, machine learning, statistics, and programming (Python/R).
- Develop and update course syllabi, materials, and assessments in alignment with departmental goals and industry trends.
- Mentor and advise undergraduate and graduate students on academic progress, research projects, and career pathways.
- Collaborate with faculty on curriculum design, assessment strategies, and pedagogical innovations.
- Participate actively in departmental meetings, university committees, and accreditation processes.
- Contribute to the academic community through office hours, student organizations, and university events.
- Integrate real-world datasets, case studies, and industry tools (e.g., AWS, Tableau, TensorFlow) into the curriculum.
- Maintain an active scholarly agenda, pursuing research or applied projects that enhance the department's reputation.
Qualification
- Master's degree or PhD in Data Science, Computer Science, Statistics, or a closely related field (PhD strongly preferred).
- Demonstrated excellence in teaching at the university level, with a minimum of 2 years of experience.
- Proficiency in Python, SQL, and at least one major data visualization or machine learning framework.
- Strong record of, or clear potential for, scholarly research and publication.
- Excellent written and verbal communication skills, with the ability to engage a diverse student body.
- Experience with online and hybrid teaching modalities and learning management systems (e.g., Canvas, Blackboard).
- Evidence of contribution to diversity, equity, and inclusion in teaching, research, and/or service.