About the Role
We are looking for a passionate and knowledgeable Data Science Educator who can simplify complex concepts and deliver engaging learning experiences. The ideal candidate should have strong expertise in Data Science, Machine Learning, Python, SQL, and AI fundamentals, along with the ability to mentor learners through practical, industry-oriented projects.
This role requires someone who enjoys teaching, creating learning content, and helping students become job-ready.
Key Responsibilities
- Deliver live online and offline sessions on Data Science and AI.
- Teach concepts from beginner to advanced levels using practical examples.
- Design hands-on assignments, case studies, and real-world projects.
- Mentor students during projects, doubt-solving sessions, and career guidance.
- Develop and update course content according to industry trends.
- Create presentations, coding exercises, quizzes, and assessments.
- Evaluate student performance and provide constructive feedback.
- Record high-quality course videos when required.
- Stay updated with the latest developments in Data Science, AI, and analytics.
- Collaborate with the curriculum and marketing teams for workshops, webinars, and bootcamps.
Required Technical Skills
- Python Programming
- SQL
- Statistics & Probability
- Data Analysis
- Data Visualization (Matplotlib, Seaborn, Plotly)
- NumPy
- Pandas
- Machine Learning (Supervised & Unsupervised)
- Feature Engineering
- Model Evaluation
- Scikit-learn
- Deep Learning Fundamentals
- Natural Language Processing (Basic)
- Generative AI Fundamentals
- Prompt Engineering
- APIs & AI Integrations
- Git/GitHub
- Jupyter Notebook
- Google Colab
Good to Have
- Power BI or Tableau
- TensorFlow or PyTorch
- LangChain
- RAG Applications
- LLM Integrations
- Vector Databases
- Cloud Platforms (AWS, Azure, or GCP)
- Docker Basics
- MLOps Fundamentals
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.
Preferred Experience
- 2–6 years of experience in Data Science, AI, Analytics, or related domains.
- Prior teaching or corporate training experience is highly preferred.
- Experience mentoring students or professionals is an advantage.
- Industry project experience is a plus.
Essential Soft Skills
- Excellent communication and presentation skills.
- Ability to explain complex topics in simple language.
- Strong problem-solving and analytical thinking.
- Passion for teaching and mentoring.
- Student-first mindset.
- Time management and organizational skills.
- Adaptability to new technologies and AI tools.
Tools & Technologies
- Python
- SQL
- Jupyter Notebook
- Google Colab
- VS Code
- GitHub
- Power BI/Tableau
- ChatGPT
- Claude
- Gemini
- Git
Key Performance Indicators (KPIs)
- Student satisfaction and feedback scores.
- Student course completion rate.
- Assignment and project completion rate.
- Student placement/readiness outcomes.
- Batch engagement and attendance.
- Course content quality and updates.
- Assessment performance improvement.
- Timely delivery of sessions and curriculum.
What We Offer
- Opportunity to teach cutting-edge AI and Data Science technologies.
- Collaborative and innovation-driven work culture.
- Access to the latest AI tools and learning resources.
- Career growth opportunities.
- Performance-based incentives.
- Opportunity to shape the careers of aspiring Data Science professionals.
Pay: ₹25,000.00 - ₹40,000.00 per month
Work Location: In person
