Data Science Trainer/Faculty

Role Overview: As a Data Science Trainer/Faculty, your primary responsibility will be to deliver high-quality training sessions in data science, machine learning, and analytics. You will play a key role in curriculum design, hands-on instruction, and mentoring learners to develop real-world skills. Key Responsibilities: - Deliver engaging training sessions on various topics including data analysis, machine learning, statistics, data visualization, and Python/R programming. - Develop, update, and maintain curriculum and training materials for learners at different levels (beginner to advanced). - Conduct live lectures, workshops, webinars, and hands-on labs using real datasets. - Create assignments, quizzes, projects, and assessments to evaluate learner progress. - Offer mentorship and support to learners, assisting them with coding challenges, project work, and career guidance. - Stay updated with industry trends, tools, and best practices in data science, and integrate them into the curriculum. - Collect feedback from learners to continuously improve training methods and materials. - Assist in developing and delivering corporate training programs when required. Qualification Required: - Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or a related field. - Proven experience (2+ years) in data science or analytics roles. - Prior experience as a trainer, instructor, or mentor in data science is highly preferred. - Strong knowledge of programming languages such as Python (NumPy, pandas, scikit-learn, etc.) and optional knowledge of R. - Familiarity with data visualization tools like Matplotlib, Seaborn, Power BI, Tableau (optional). - Proficiency in statistical and machine learning concepts, data wrangling, preprocessing, exploratory data analysis, SQL, and databases. - Excellent communication and presentation skills with the ability to simplify complex topics. - Experience with online teaching tools (Zoom, Google Meet, LMS platforms) and version control systems like Git/GitHub. Additional Details of the Company: - Competitive salary / hourly rate. - Flexible working hours and remote work options. - Access to cutting-edge tools and datasets. - Opportunities for continuous learning and development in a supportive and inclusive team culture.,