Data Science Trainer

4 days ago


Remote, India 8706b5c0-c2ac-446e-83bc-0e897bacf84a Full time ₹ 2,00,000 - ₹ 4,00,000 per year

Job Description: Data Science Trainer

Position: Data Science Trainer

Location: Hyderabad (or mention your location)

Job Type: Full-time / Part-time / Contract

Experience: 1–5 years (flexible based on your requirement)

Responsibilities:

  • Train students/professionals on Data Science concepts, including
  • Python for Data Science
  • Statistics & Probability
  • Data Wrangling & Data Visualization
  • Machine Learning (Supervised & Unsupervised)
  • Deep Learning basics
  • SQL & Databases
  • Power BI / Tableau (optional)
  • Prepare training materials, lesson plans, assignments, and real-time projects.
  • Conduct classroom and online sessions, ensuring clarity and engagement.
  • Guide students in hands-on practice, coding exercises, and project development.
  • Monitor and evaluate learner progress with tests and feedback.
  • Support in placement activities by preparing students for interviews.
  • Stay updated with the latest tools & technologies in Data Science.
  • Collaborate with the academic/career team to improve training quality.

Required Skills:

  • Strong knowledge of Python, NumPy, Pandas, Matplotlib/Seaborn.
  • Solid understanding of Machine Learning algorithms.
  • Knowledge of Statistics, hypothesis testing, and data modeling.
  • Experience with SQL and databases (MySQL/PostgreSQL).
  • Good communication and presentation skills.
  • Ability to explain complex topics in simple, easy-to-understand language.

Preferred Skills (Optional):

  • Experience with Deep Learning, TensorFlow/Keras.
  • Knowledge of Power BI / Tableau.
  • Experience with Git, Jupyter Notebook, Google Colab.
  • Prior teaching/training experience.

Qualifications:

  • Bachelor's/Master's degree in Computer Science, Data Science, Engineering, or equivalent.
  • Certifications in Data Science / ML will be an added advantage

Job Types: Full-time, Part-time

Pay: ₹15, ₹20,000.00 per month

Work Location: Remote


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