We are seeking a qualified Data Science Faculty member to join our academic team. The ideal candidate will have a strong foundation in data science and related fields, capable of teaching courses, mentoring students, and engaging in research activities. This role involves designing and updating course materials, conducting domain-specific research, and collaborating with industry partners to address real-world data challenges. The position requires hands-on expertise in programming, data analysis, and familiarity with contemporary tools and technologies in the data science ecosystem.
Key Responsibilities:
- Develop and update course syllabi, lecture presentations, coding assignments, projects, and assessment rubrics to ensure curriculum relevance and rigor.
- Deliver engaging lectures and provide mentorship to students in data science, artificial intelligence (AI), and machine learning.
- Conduct research in relevant domains, publish academic papers, and contribute to the advancement of knowledge in the field.
- Collaborate occasionally with industry partners to work on practical data problems, fostering a bridge between academia and industry.
- Utilize programming languages such as Python, R, and SQL for teaching and research purposes.
- Employ machine learning frameworks and data visualization tools like Tableau and Power BI to enhance learning and research outcomes.
- Work with big data and cloud computing ecosystems to support advanced data science applications.
Required Qualifications:
- Bachelor’s degree in Data Science or a closely related field.
- Proficiency in programming and data analysis languages including Python, R, and SQL.
- Familiarity with machine learning frameworks and data visualization platforms such as Tableau and Power BI.
- Understanding of big data technologies and cloud ecosystems.
Preferred Qualifications and Benefits:
- Experience in academic research and publication is highly desirable.
- Ability to collaborate with industry partners on real-world projects.
- The role is full-time, with working hours from 1 PM to 9 PM, Monday through Saturday.
- The position is based on-site, requiring in-person attendance.
- Monthly compensation ranges from Rs 50,000 to Rs 80,000, commensurate with experience and qualifications.
This opportunity is ideal for professionals passionate about teaching and research in data science, eager to contribute to student development and academic excellence while staying connected with industry trends.