Data Science Trainer @ Bajaj Finserv

Job Description

Responsibilities: Train in Python, R Programming, Machine learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, Data wrangling, Integration with Big Data Hadoop, Scoop, Impala, Hive, Pig & Spark, Data Wrangling, Models, Data mining, and Algorithms. Also train on time series and forecasting, SQL, queries, PowerBI & Tableau Data Visualization. Develop BigData/ Hadoop Technologies training content for Students, Working Professionals, and Corporates Work in small teams where each team member has a lot of ownership and each individual can make a big impact Design and make the trainees develop mini or major real-time projects for practical exposure Collaborate with trainers, SMEs, and curriculum developers to develop and refine courses. Job Requirements: Minimum of 2-5 years of experience delivering highly technical courses for our key personas (software developers, business analysts, data scientists). Strong, practical data analysis and data science. skills. Ability to create interactive and engaging experiences for students by taking complex topics and making them accessible. Answer technical questions with both knowledge and empathy. Ability to tailor courses to meet high-touch customer needs. Ability to thrive in a fast-paced and constantly changing environment. Ready to relocate on company projects immediately. Job Type: Full-time Salary: 20,000.00 - 25,000.00 per month Benefits: Food provided Schedule: Day shift Monday to Friday Experience: total work: 2 years (Required) Work Location: In person

Employement Category:

Employement Type: Full time
Industry: Education / Training
Role Category: Education / Training
Functional Area: Not Applicable
Role/Responsibilies: Data Science Trainer

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Keyskills:   Python R Programming Machine learning Deep Learning NLP Computer Vision Reinforcement Learning Data wrangling Impala Hive Data mining Algorithms Time series Forecasting SQL Integration with Big Data Hadoop Scoop Pig Spark PowerBI Tableau Data Visualization