This role is for one of the Weekday's clients
Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)
Min Experience: 5 years
Location: Bengaluru
JobType: full-time
Requirements
Primary Responsibilities:
- Deliver and facilitate engaging and effective sessions on data science concepts and tools, including hands-on practicum classes.
- Provide academic support and mentorship to learners to ensure consistent engagement and high performance.
- Coordinate with internal academic and operations teams for batch scheduling, course planning, and resource alignment.
- Liaise with academic leadership to facilitate guest lectures and events with industry professionals.
- Oversee content and updates related to academic programs on institutional websites and social media platforms.
- Generate timely academic and operational reports for internal review and leadership use.
- Offer administrative support for academic events, including hackathons, learning showcases, and project presentations.
Required Skills & Competencies:
- Strong knowledge of data science concepts and proficiency in tools and programming languages such as Python, R, and SQL.
- Hands-on experience with machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
- Familiarity with learning management systems (LMS) and digital learning platforms.
- Ability to deliver engaging lessons in both online and hybrid learning environments.
- Excellent communication and interpersonal skills for effective interaction with students, faculty, and external professionals.
- Strong organizational and multitasking skills to manage academic and operational responsibilities simultaneously.
- Experience in event coordination and project management is an advantage.
- Analytical mindset with sound judgment and problem-solving skills.
- Passion for continuous learning and staying updated with the latest in data science and EdTech.
Stakeholder Engagement:
Internal:
- Academic and faculty teams
- Students
- Departments such as Marketing, IT, Operations, Finance, and Digital Learning
External:
- Vendors and service providers
- Industry experts and consultants
- Partner universities and institutions
Additional Expectations:
- Maintain a high standard of professionalism, punctuality, and effective communication.
- Foster a positive, inclusive, and ethical academic environment.
- Contribute proactively to a culture of academic innovation and excellence.