Data Science Trainer
CoachX.Live
2 - 5 years
Pune
Posted: 17/12/2025
Getting a referral is 5x more effective than applying directly
Job Description
- Conduct live online and/or classroom sessions on:
- Python for Data Science
- Statistics & Probability
- Machine Learning & AI
- Advanced Excel
- SQL (queries, joins, window functions, optimization)
- Power BI (DAX, dashboards, data modeling)
- Generative AI (Prompt Engineering, LLM basics, practical use cases)
- Use case studies, hands-on labs, real datasets, and capstone projects.
- Ensure high learner engagement through interactive teaching.
- Design and update course modules, lesson plans, assignments, quizzes.
- Help Students build projects across Excel, SQL, Python, ML, Power BI, and Gen AI tools.
- Create high-quality training material: slides, datasets, notebooks, dashboards.
- Provide post-class doubt clearing and 1:1 mentoring.
- Review learner assignments, notebooks, SQL queries, and dashboards.
- Guide students in building industry-ready portfolios and capstone projects.
- Taking their Technical mocks and interview prep sessions
- Conduct assessments, mock interviews, and project evaluations.
- Track learner performance and share progress reports.
- Maintain training quality and learner satisfaction.
- Coordinate with academic, operations, and placement teams.
- Follow LMS processes for content upload, attendance, session recordings.
- Maintain consistent delivery standards and timelines.
- Python, NumPy, Pandas
- Statistics & Probability
- Machine Learning algorithms
- Excel (advanced formulas, pivot tables, dashboards)
- SQL (Joins, CTEs, Window Functions, optimization)
- Power BI (Power Query, DAX, data modeling, dashboards)
- Generative AI (Prompt engineering, model usage, tools like ChatGPT, Gemini, Claude)
- Sound Knowledge of Deep Learning/NLP
- Excellent communication & presentation skills.
- Ability to simplify complex concepts for beginners.
- Strong analytical and problem-solving abilities.
- Passion for teaching and mentoring.
- 2-5+ years in Data Science/Analytics/BI or training roles.
- Prior teaching/training experience is preferred but not mandatory.
- Session feedback & learner satisfaction score.
- Assignment and project completion rate.
- Timely syllabus delivery.
- Learner engagement & attendance.
- Placement support outcomes (if applicable).
- Full-time | Work from Office / Hybrid
- Up to 70 hours of Classroom teaching per week + content creation.
- Weekend availability based is needed
- Week off Wednesday
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