Trainer - Data Science (Freelance)

- Deliver in-depth training on data science concepts, including statistics, machine learning, and predictive modeling. - Conduct hands-on sessions using programming languages such as Python and relevant libraries. - Teach data cleaning, preprocessing, feature engineering, and model evaluation techniques. - Use real-world datasets to provide practical exposure and enhance learning outcomes. - Guide learners in developing end-to-end data science projects. - Evaluate assignments, coding exercises, and project submissions. - Provide mentorship on building portfolios and preparing for data science roles. - Stay updated with the latest tools, frameworks, and advancements in data science. - Simplify complex algorithms and concepts for better learner understanding. - Share industry use cases and applications across domains. Requirements - Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. - 3–6 years of hands-on experience in data science or analytics roles. - Strong proficiency in Python, machine learning libraries, and data handling tools. - Experience with tools such as Pandas, NumPy, Scikit-learn, TensorFlow, or similar. - Prior experience in training, teaching, or mentoring professionals. - Strong analytical and logical thinking capabilities. - Ability to break down complex concepts into simple explanations. - Hands-on experience in real-world data science projects. - Good communication and presentation skills. - Availability for freelance training engagements. Originally posted on Himalayas