Data Science Trainer
We Are Hiring: Data Science Trainer
Company: NetTech India
Location: Andheri West, Mumbai
Job Type: Full-Time
Salary: ₹25,000 – ₹35,000 per month
Working Days: 6 Days a Week
📌 Job Responsibilities
- Conduct classroom training sessions in Data Science & Data Analytics.
- Teach concepts through practical, hands-on projects and real-world datasets.
- Prepare and deliver training content, assignments and assessments.
- Guide students in projects, doubts and technical concepts.
- Mentor students for interviews and career development.
- Track student performance and provide regular feedback.
- Work on consulting/project-based assignments when required.
💻 Required Technical Skills
- Python
- SQL
- Advanced Excel
- Pandas & NumPy
- Statistics
- Machine Learning
- Power BI / Tableau
- Data Visualization
- Artificial Intelligence
- Jupyter Notebook
- Scikit-learn
🎓 Eligibility
- Bachelor's/Master's degree in Computer Science, IT, Data Science, Engineering or a related field.
- 1+ year of experience in Data Science/Data Analytics or relevant industry experience.
- Freshers with strong certifications and practical knowledge may also be considered.
- Prior teaching/training experience will be an added advantage.
⭐ Key Skills
- Strong technical knowledge
- Excellent communication and presentation skills
- Good classroom management
- Ability to explain complex concepts in a simple manner
- Passion for teaching and mentoring
📩 Interested candidates can share their CV with the HR team.
WhatsApp CV on [contact shared on WhatsApp]
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Interview advice
Going for this role at NetTech India? A few things that help freshers walk in prepared:
- Before you go in, list the top three things this job asks for and prepare one concrete example for each — then tie every answer back to them.
- Rehearse "tell me about yourself" out loud in about 60 seconds — education, one standout achievement, why this role — instead of reciting your CV top to bottom.
- Put numbers on your achievements: "8.5/10 GPA", "cut load time by 40%", "led a team of four" lands far better than "good grades" or "hard-working".
- For a virtual interview, test your internet, camera and mic in advance, sit somewhere quiet and well-lit, and still dress formally — it signals you are serious.
- Prepare two or three thoughtful questions to ask them about the team, the work and growth; "I have no questions" reads as low interest.