ob description:
We’re looking for a Data Science Trainer who enjoys teaching, mentoring, and breaking down complex ideas into simple, practical concepts. This role is for someone who has hands-on data science experience and has already guided students or junior professionals through real learning journeys.
Key Responsibilities
- Deliver instructor-led training sessions in Data Science, both online and offline
- Teach core concepts including Python, statistics, data analysis, machine learning, and basic deep learning
- Design and update training materials such as presentations, notebooks, assignments, and mini projects
- Mentor students by reviewing code, clarifying concepts, and guiding them through projects
- Help learners connect theory with real-world use cases
- Track student progress and provide constructive feedback
- Support students with interview preparation, case studies, and portfolio building
- Coordinate with academic and placement teams to align training outcomes
Required Skills
- Strong proficiency in Python for data analysis and machine learning.
- Excellent knowledge of NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
- Strong understanding of Statistics, Probability, and Data Analysis concepts.
- Experience with SQL for data querying and database management.
- Hands-on experience with Power BI, Tableau, or other data visualization tools.
- Familiarity with Jupyter Notebook, Google Colab, and version control tools.
- Good understanding of machine learning algorithms and model evaluation techniques.
- Excellent communication, presentation, and mentoring skills.
- Ability to simplify technical concepts for beginners and provide one-to-one guidance.
Preferred Qualifications
- 1–2 years of experience as a Data Science Trainer, Mentor, or Teaching Assistant
- Experience working with real datasets and practical projects
- Exposure to deep learning, NLP, or computer vision is a plus
- Prior experience in a training institute or EdTech environment.
Pay: ₹12,000.00 - ₹15,000.00 per month
Work Location: In person
