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Title
Text copied to clipboard!Data Science Professor
Description
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We are looking for a dedicated and experienced Data Science Professor to join our academic team. The ideal candidate will be responsible for delivering theoretical and practical lessons on data science, including data analysis, machine learning, applied statistics, and programming. Additionally, they will guide students in research and development projects, contributing to the advancement of knowledge in the field. The professor should have skills to develop updated teaching materials, apply innovative teaching methodologies, and assess student performance fairly and constructively. It is essential that the candidate has proven experience in data science, mastery of tools and languages such as Python, R, and SQL, and the ability to work collaboratively with other academic departments. The position also requires participation in extension activities and scientific events, promoting integration between the university and the market. We seek a professional committed to quality education and continuous development of their pedagogical and technical skills.
Responsibilities
Text copied to clipboard!- Plan and deliver data science classes.
- Develop updated and relevant teaching materials.
- Guide students in academic projects and research.
- Assess student performance fairly.
- Participate in academic meetings and activities.
- Collaborate with other departments for curriculum integration.
- Promote events and workshops in data science.
- Stay updated with industry trends and technologies.
- Contribute to scientific publications and conferences.
- Engage in university extension activities.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Statistics, or related fields.
- Master's or PhD in Data Science or related areas.
- Proven experience teaching data science.
- Proficiency in programming languages such as Python, R, and SQL.
- Knowledge of machine learning and statistical analysis.
- Clear and didactic communication skills.
- Ability to work in multidisciplinary teams.
- Experience in academic advising is a plus.
- Scientific publications in the field are valued.
- Availability to participate in events and extracurricular activities.
Potential interview questions
Text copied to clipboard!- What is your experience teaching data science?
- Which tools and languages do you master?
- How do you keep your knowledge updated?
- Describe your experience advising students.
- How do you handle challenges in the classroom?
- What teaching methodologies do you use?
- Do you have experience with academic research?
- How do you contribute to the academic environment beyond teaching?
