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Description
Job Description: Data Science Trainer Position: Data Science Trainer Experience: 1.5+ years as a Data Science Trainer (or in a teaching/mentoring role in Data Science) Qualification: Bachelors/Masters in Data Science, Computer Science, Statistics, Mathematics, or related fields (or equivalent industry experience) Job Description: Data Science Trainer Excellent communication, presentation, and problem-solving skills. Certification in Data Science/AI/ML (preferred but not mandatory). Preferred Skills: Experience with Big Data tools (Hadoop, Spark, SQL databases). Familiarity with ML deployment (Flask, FastAPI, Docker). Knowledge of Generative AI (LLMs like ChatGPT, LangChain, RAG). Job Summary: We are looking for a passionate Data Science Trainer with 1.5+ years of training experience to educate students/professionals in Python, Machine Learning, Statistics, and Data Analysis. The ideal candidate should have strong technical expertise and the ability to simplify complex concepts for learners. Key Responsibilities: Deliver training sessions (online/offline) on Data Science, ML, and AI concepts. Teach Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Cover Statistics, EDA, Regression, Classification, Clustering, NLP, and Deep Learning basics. Develop hands-on exercises, real-world projects, and case studies. Guide students on data preprocessing, model building, and deployment. Stay updated with latest trends in AI/ML (LLMs, GenAI, AutoML, etc.). Assess learners through assignments, quizzes, and capstone projects. Assist in updating curriculum with industry-relevant tools & techniques. Required Skills & Qualifications: 1.5+ years as a Data Science Trainer (or in teaching/mentoring roles). Strong expertise in: Python, SQL, and Data Science libraries (Pandas, NumPy, Scikit-learn). Machine Learning (Supervised & Unsupervised Learning). Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Knowledge of Deep Learning (TensorFlow/Keras/PyTorch) & NLP (optional but preferred). Experience with Jupyter Notebooks, Google Colab, and cloud platforms (AWS/GCP/Azure).
