Data Science Trainer

2 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

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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