Join IElevate Institute as a Data Science Trainer to inspire and educate aspiring data scientists through engaging online sessions. Leverage your expertise to deliver cutting-edge curriculum and foster practical skills in machine learning and data analysis.

IElevate Institute is seeking a passionate Data Science Trainer to join our remote team and empower the next generation of data professionals. In this role, you will design and deliver comprehensive training programs covering key areas such as data wrangling, statistical modeling, predictive analytics, and AI fundamentals. Our institute focuses on practical, hands-on learning through real-world Projects, ensuring trainees are job-ready upon completion.

As a trainer, you will conduct live virtual sessions, provide personalized feedback, and mentor students on their portfolios. You will collaborate with our curriculum team to update course materials based on the latest industry trends, such as big data technologies and ethical AI practices. This position offers the chance to make a meaningful impact in the growing field of data science while working remotely from anywhere in India.

If you are enthusiastic about teaching and have a strong background in data science, we encourage you to apply and help shape the future of data-driven decision-making.

• Master's or PhD in Data Science, Computer Science, Statistics, or a related field
• At least 3 years of professional experience in data science roles
• Proven teaching or training experience in data science topics, preferably in an academic or corporate setting
• Proficiency in Python, R, SQL, and machine learning libraries such as TensorFlow or scikit-learn
• Strong communication skills and ability to explain complex concepts to diverse audiences
• Experience with remote teaching tools and platforms like Zoom or Google Classroom
• Certification in data science (e.g., Google Data Analytics, AWS Certified Machine Learning) is a plus

• Competitive monthly salary with performance bonuses
• Flexible remote work schedule to maintain work-life balance
• Professional development opportunities, including access to advanced data science courses
• Health insurance coverage and paid time off
• Collaborative online community with fellow educators and industry experts
• Opportunities to contribute to curriculum development and research Projects