to teach, mentor, and guide students in data-driven concepts, analytical techniques, and real-world applications. The ideal candidate will combine strong theoretical knowledge with hands-on industry experience in Data Science and Analytics.
Key Responsibilities
Deliver classroom and/or online lectures in Data Science
Teach core subjects including:
Data Science fundamentals
Python / R for Data Analysis
Statistics & Probability
Data Visualization (Matplotlib, Seaborn, Power BI, Tableau)
Machine Learning algorithms
SQL & Database Management
Big Data basics (Hadoop, Spark - optional)
Design curriculum, lesson plans, assignments, and lab exercises
Guide students in live projects, capstone projects, and case studies
Evaluate student performance through exams, quizzes, and project reviews
Stay current with emerging tools, technologies, and industry trends
Mentor students for internships, placements, and career growth
Maintain academic and training documentation
Required Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
PhD in relevant domain (preferred for senior faculty roles)
Industry-recognized Data Science certifications are a plus
1-3 years of experience in Data Science, Analytics, teaching, or related roles
Skills & Competencies
Strong foundation in statistics, mathematics, and data analysis
Proficiency in Python (NumPy, Pandas, Scikit-learn) or R
Experience with Machine Learning models and evaluation techniques
Knowledge of data visualization tools and dashboards
Excellent communication and presentation skills
Ability to explain complex data concepts clearly
Problem-solving and analytical mindset
Job Types: Full-time, Permanent
Pay: ?8,086.00 - ?58,039.22 per month
Benefits:
Cell phone reimbursement
Internet reimbursement
Paid sick time
Paid time off
Provident Fund
Work Location: In person
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