• 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