Reyedin Techstack Private limited
Data Science Trainer
Skills
1 month ago
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Important information
Contract type:
Permanent, Temporary
Location:
Delhi, India
Work mode:
Hybrid
Published on:
24 September 2026
What they need
Absolutely. Here’s an Indeed-ready Job Description for a Data Science Trainer role, written to attract candidates with both strong technical knowledge and teaching ability.
Data Science Trainer
Job Type: Full-Time
Experience: 1–5 Years
Location: [Location / Remote / Hybrid]
Department: Training & Education
Job Summary
We are looking for an enthusiastic and knowledgeable Data Science Trainer to join our training team. The ideal candidate should have strong hands-on experience in Python, Data Science, Machine Learning, SQL, Statistics, and Data Visualization, along with the ability to explain technical concepts in a simple and practical manner.
The trainer will be responsible for delivering instructor-led training, creating practical projects and assignments, mentoring learners, and helping students develop industry-relevant data science skills.
Key Responsibilities
- Deliver engaging Data Science and Machine Learning training sessions.
- Teach concepts using practical examples, real-world datasets, and hands-on projects.
- Develop and update training materials, presentations, assignments, quizzes, and projects.
- Train students on Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Statistics, and Machine Learning.
- Explain machine learning algorithms and their practical applications.
- Guide students through end-to-end data science projects.
- Provide coding support, doubt-solving, and individual mentoring.
- Conduct assessments, practical tests, and project evaluations.
- Help learners build industry-ready portfolios and prepare for technical interviews.
- Stay updated with current Data Science, AI, and Machine Learning tools and technologies.
- Maintain a professional and interactive classroom/training environment.
Required Skills
- Strong knowledge of Python programming.
- Good understanding of Data Science and Machine Learning.
- Hands-on experience with:
- Python
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
- SQL
- Statistics
- Data Cleaning & Exploratory Data Analysis (EDA)
- Data Visualization
- Understanding of supervised and unsupervised machine learning.
- Experience working with real-world datasets and projects.
- Strong communication and presentation skills.
- Ability to explain complex technical concepts in an easy-to-understand manner.
- Good problem-solving and mentoring abilities.
Good to Have
- Knowledge of Deep Learning, NLP, Generative AI, or LLMs.
- Experience with TensorFlow or PyTorch.
- Knowledge of Power BI or Tableau.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Previous experience as a Data Science Trainer, Faculty, Mentor, or Corporate Trainer.
- Experience creating online courses or educational content.
Education
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Relevant industry experience and strong practical knowledge may be considered in place of a formal degree.
What We Offer
- Competitive salary based on skills and experience.
- Opportunity to work with aspiring Data Science professionals.
- Professional growth and learning opportunities.
- Collaborative and supportive work environment.
- Opportunity to work on real-world projects and training programs.
Preferred Candidate Profile
The ideal candidate is someone who enjoys teaching, has strong practical Data Science knowledge, and can mentor beginners as well as intermediate learners. Candidates should be comfortable conducting live coding sessions and explaining concepts through real-world examples.
Apply Now: If you are passionate about Data Science and enjoy helping others build their technical careers, we'd love to hear from you. MAIL. [email protected]
9217046547
Pay: ₹240,000.00 - ₹600,000.00 per year
Benefits:
- Cell phone reimbursement
- Flexible schedule
- Paid sick time
- Paid time off
Work Location: In person
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