Okay, I found adjunct faculty positions in Data Science and related fields in Honolulu. They are suited for candidates with a Master's or Doctorate degree, focusing on online teaching, and requiring expertise in Python and machine learning. I have identified 12 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The position of Adjunct - Data Science at Hawai‘i Pacific University fundamentally aims to educate and develop graduate students in the field of data science and machine learning. This involves not just imparting knowledge, but also engaging with students to cultivate critical analysis and practical skills essential for today's data-driven landscape. The primary responsibilities include developing comprehensive syllabi, delivering course content, and maintaining engagement through various forms of assessment. A significant challenge may be adapting the curriculum to meet diverse learning needs and integrating contemporary data science trends to remain relevant. Success in this role likely means students successfully grasp the course concepts, apply them in real-world scenarios, and feel supported in their academic journey. Moreover, the ability to deliver content both in-person and online adds layers of complexity, necessitating strong communication skills and adaptability to different teaching modalities.

Company Analysis:

Hawai‘i Pacific University exists within a rich cultural and educational context that emphasizes a global perspective on learning, positioning itself as a distinctive player in the educational sector. The emphasis on a liberal arts foundation equips students with a well-rounded education, suggesting a student-centric approach that values critical thinking and ethical considerations. Given the university’s vision to be among the top 10 Western independent comprehensive universities, the Adjunct - Data Science's role is pivotal in supporting this objective through high-quality education in a vital field. The culture likely emphasizes collaboration, innovation, and responsiveness to community and global needs. This role's integration with the broader academic mission indicates that the candidate should not only be a subject matter expert but also embody the university's values of diversity and ethical engagement. The organizational structure may provide visibility to higher academic leadership, making it essential for the candidate to align their teaching methodologies with the university’s goals. In this context, the role serves not merely to fill a teaching slot but as a component of the larger strategic vision to provide exemplary educational experiences.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to engage students with diverse learning styles during a lesson. What strategies did you use?
• Can you provide an example of an innovative data science project you've led? What was your role, and what was the outcome?
• Describe a challenge you encountered while teaching online. How did you address it, and what did you learn?
• How would you approach updating your course materials to reflect emerging trends in data science?
• What methods do you utilize to assess student performance effectively in a remote learning environment?
• How would you handle a situation where a student's performance is consistently below expectations despite additional support?
• Imagine you are given a course to teach that’s unfamiliar to you. What steps would you take to prepare and deliver the content effectively?
• If you had to collaborate with a colleague from a different department to enhance your data science course, what factors would you consider to ensure successful teamwork?
• Why are you interested in the adjunct position at Hawai‘i Pacific University specifically, and how do you see your teaching philosophy aligning with its values?
• How do you believe your previous experiences in the high-tech industry will influence your teaching style and course content?
• What aspects of Hawai‘i Pacific University's vision resonate with you the most, and why do you think they are important in higher education?
• Could you explain how you stay updated with the latest developments in data science and machine learning?
• How can you help foster a diverse and inclusive learning environment for your students?