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Data science trainer

Lincoln
Willhire
Science
Posted: 5h ago
Offer description

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

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