Job Title:
Data Science Faculty / TrainerJob Summary
We are seeking an experienced and enthusiastic Data Science Faculty 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