Data Science Trainer – Jobs in Bangalore

Job Description

Company: Skillcamper

About the job

Join Our Trailblazing Team: Become a Data Science Trainer for Finance Wizards!

At SkillCamper, we’re on a mission to become a Data Science University for the world where anyone, anywhere, can transform their life by accessing the best learning experience in data science. To that end, we are looking for passionate, skilled, and dedicated professionals to join us on this journey. If you’re eager to make an impact in the world of education and data science, we want you on our team!

What You’ll Do

• Inspire and Empower: Teach cutting-edge data science concepts tailored for the banking and finance sector, transforming novices into analytics wizards.
• Curriculum Innovation: Deliver in-person and live online lectures, workshops, and tutorials with enthusiasm, clarity, and depth. Design compelling, real-world-based coursework that bridges the gap between theoretical data science and its practical applications.
• Mentorship Excellence: Offer personalized mentorship, carry out assessments, guide learners through complex data puzzles and foster a community of continuous learning.
• Impact and Influence: Participate in community events, webinars, and workshops to inspire and attract aspiring data scientists.

Why You?

• You’re a Storyteller with Data: You have a knack for breaking down complex data science concepts into captivating stories that resonate with professionals from non-technical backgrounds.
• Pedagogical Pioneer: You possess a blend of industry experience in data science and finance, combined with a passion for teaching and a knack for engaging adult learners.
• Innovator at Heart: You’re constantly curious, always exploring the latest tools, techniques, and trends in data science and finance to keep our curriculum cutting-edge.
• Community Builder: You’re not just a teacher; you’re a mentor, eager to build a network of learners who support and inspire each other.

Key Requirements

• A master’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degrees preferred.
• Solid experience in data science, machine learning, or a related field, with a portfolio of projects or contributions that demonstrate your expertise.
• Exceptional teaching skills with experience in online education, workshops, or coaching.
• Proficiency in Data Analytics must include tools and programming languages, such as Python, R, SQL, Statistics, Excel, ML models, and Data Visualisation (Tableau/ PowerBI)
• Proficiency in Deep Learning must include tools, techniques and languages such as Python, TensorFlow, Linear Algebra, RNN, CNN, NLP, Computer Vision, LLM, LangChain, MLOPs, and LLM-based applications
• Proficiency in Data Engineering must include SparkSQL, SparkPython, Spark, ETL, design and Data Warehouse building

Join us and help us shape the future of data science education. Together, we can build something extraordinary.