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