Assistant Professor For Data Science

Location: Dehradun

Employment Type: Full-Time

Experience: 1–4 Years

Joining: Immediate Joiners Preferred

We are looking for a passionate and knowledgeable Assistant Professor – Data Science to join our academic team in Dehradun. The ideal candidate should possess a strong academic background in Computer Science, relevant teaching or industry experience, and the ability to deliver high-quality education in Data Science and related technologies.

• Deliver lectures and practical sessions in Data Science, Python, Machine Learning, Artificial Intelligence, SQL, Statistics, and related subjects.
• Develop lesson plans, assignments, assessments, and academic content.
• Mentor students on academic projects, internships, and research initiatives.
• Evaluate student performance through assignments, presentations, and examinations.
• Participate in curriculum development, academic planning, seminars, workshops, and departmental activities.
• Stay updated with the latest trends and advancements in Data Science and integrate them into classroom teaching.
• Support accreditation, academic administration, and other institutional responsibilities.

Mandatory Qualification (Any One):

• BCA + MCA (Computer Applications), OR
• B.Tech + M.Tech (Computer Science/Information Technology or related Computer specialization)

• 1–4 years of teaching and/or industry experience in Data Science, Computer Science, Artificial Intelligence, or Machine Learning.
• Immediate joiners will be given preference.

• Data Science
• Python Programming
• Machine Learning
• Artificial Intelligence
• SQL & Database Management
• Statistics & Data Analytics
• Data Visualization (Power BI/Tableau preferred)
• Excellent Communication & Presentation Skills
• Student Mentoring & Academic Guidance
• Research and Curriculum Development

• Strong subject knowledge with a passion for teaching.
• Excellent analytical, problem-solving, and communication skills.
• Ability to engage students through practical, industry-oriented learning.
• Committed to academic excellence and continuous professional development.

• Opportunity to work with a reputed educational institution.
• Collaborative and growth-oriented academic environment.
• Career advancement and professional development opportunities.
• Competitive salary and benefits.