IT Faculty

The Data Science and Data Analytics Faculty at CADD Centre is responsible for delivering high-quality education in the field of data science and analytics to engineering students. The role involves conducting lectures, hands-on training, and assessments to equip students with the necessary skills for a career in data science and analytics.

**Location**: Thane Station Road & Manpada / Airoli / Dombivli

**Key Responsibilities**:

- **Teaching and Instruction**: Conduct engaging lectures, workshops, and hands-on sessions to impart theoretical knowledge and practical skills in data science and analytics, including data preprocessing, machine learning, statistical analysis, and data visualization.
- **Student Assessment**: Design and implement assessments, projects, and examinations to evaluate student understanding and proficiency in data science concepts, providing constructive feedback for improvement.
- **Stay Updated**: Stay informed about the latest developments, tools, and techniques in data science and analytics, incorporating relevant updates into the curriculum.
- **Lab Management**: Oversee lab sessions, ensure the proper functioning of software and tools, and assist students during practical sessions.
- **Collaboration**: Collaborate with colleagues, industry experts, and management to enhance the quality of education, participate in faculty meetings, and contribute to the development of the data science and analytics program.

**Qualifications and Skills**:

- Proficiency in data science tools and programming languages such as Python, R, SQL, and relevant analytics and visualization tools.
- Teaching experience or a strong passion for education and knowledge sharing.
- Excellent communication skills to convey complex data science concepts effectively.
- Patience, adaptability, and the ability to inspire and motivate students.

**Job Types**: Full-time, Part-time

Pay: ₹300,000.00 - ₹600,000.00 per year

Expected hours: 15 - 50 per week

Schedule:

- Day shift
- Evening shift

**Experience**:

- Teaching: 1 year (preferred)

Work Location: In person