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Data Science Trainee
3 weeks ago
Job Title: Data Science Trainer
About SkillCamper:
Job Location: Remote / On-Site in Bangalore
**Job Type**: Full Time / Part Time
**Responsibilities**:
Teach and Empower: Teach cutting-edge data science concepts tailored for the banking and finance sector, transforming novices into analytics wizards. Deliver in-person and live online lectures, workshops, in an engaging manner with enthusiasm, clarity, and depth.
Mentorship: Offer mentorship, carry out assessments, guide learners through complex data puzzles and foster a community of continuous learners.
Impact and Influence: Participate in community events, webinars, and workshops to inspire and attract aspiring data scientists. Occasionally contribute to our Blog and write Case Studies.
Who should apply?
- You possess a blend of industry experience in data science (in any of its subfields like Data Engineering, Deep Learning, Generative AI, Analytics etc.) with a passion for teaching and a knack for engaging adult learners.
- cdInnovator 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.
- You're not just a teacher; you're a mentor, eager to build a network of learners who support and inspire each other.
- You don’t just like to teach but believe that learning and skilling is a fundamental right and that by empowering learners with the right skill you can achieve tremendous impact at personal and societal level.
- A plus point if you have worked or have any knowledge of the Finance domain (Banking, FinTech etc.)
**Requirements**:
- A master's degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degrees preferred.
- Solid experience any or multiple Data Science fields like - Analytics, Machine Learning, Deep Learning, Generative AI, NLP, Computer Vision, ML ops, Data Engineering etc. or other 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, SQL, Statistics, Excel, ML models, and Data Visualisation (Tableau/ PowerBI)
- Proficiency in Data Engineering must include SparkSQL, SparkPython, Spark, ETL, design and Data Warehouse building
How to apply:
- Updated resume/CV highlighting relevant experience.
- Cover letter explaining your interest in the role and your approach to training.
- Examples of previous training materials or courses delivered (if available).
- References from previous training engagements (if available).
Join us and help us shape the future of data science education. Together, we can build something extraordinary.
**Job Types**: Part-time, Freelance
Pay: ₹534,276.36 - ₹1,872,349.46 per year
**Experience**:
- total work: 4 years (required)
Work Location: Remote
