Data Science Trainer
We are looking for an experienced Data Science Trainer to deliver live, hands-on training sessions for aspiring and early-career professionals. The role involves mentoring learners through real-world use cases, guiding projects, and ensuring practical industry alignment.
This is a contractual, remote engagement, ideal for professionals who enjoy teaching alongside their industry work.
Key Responsibilities
- Conduct live online Data Science training sessions (3 sessions/week, 1–1.5 hours per session)
- Deliver practical, industry-aligned training on:
- Python for Data Science
- Statistics & Probability
- Exploratory Data Analysis (EDA)
- Data Visualization (Matplotlib, Seaborn)
- Machine Learning (Supervised & Unsupervised)
- Model Evaluation & Optimization
- Guide learners through hands-on projects and case studies
- Support learners during doubt-resolution and interactive discussions
- Assist with resume, portfolio, and career guidance sessions
- Conduct mock interviews / technical evaluations when required
- Ensure session recordings and learning quality standards are maintained
Required Skills & Qualifications
- 4+ years of experience in Data Science / Analytics / ML
- Strong proficiency in Python, Pandas, NumPy, Scikit-learn
- Solid understanding of statistics, ML algorithms, and data workflows
- Prior experience in training, mentoring, or teaching (preferred)
- Excellent communication and presentation skills
- Ability to explain complex concepts in a simple, practical manner
- Comfortable conducting live virtual sessions
Nice to Have
- Experience with real-world datasets or industry projects
- Exposure to SQL, Power BI, Tableau, or Cloud (AWS/GCP/Azure)
- Background in mentoring working professionals or fresh graduates
Contract Details
- Type: Contractual / Freelance
- Mode: Fully Remote
- Duration: As per cohort / program requirements
- Compensation: Competitive, per session / monthly basis (discussed during interview)
Why Join Us
- Work with motivated, career-focused learners
- Flexible remote engagement
- Opportunity to build trainer credibility and brand presence
- Long-term collaboration opportunities based on performance