Masterclass details

A career as a Data Scientist at Amazon is one of the most sought-after goals for aspiring data professionals. However, many candidates spend years learning tools and completing courses without understanding what Amazon actually looks for during hiring. The key is not learning everything—it’s learning the right skills in the right order.

In this live masterclass, Sumit Shukla, Director & AI Head at Scaletrix.ai, will share a practical roadmap to help you prepare for Data Science roles at Amazon and other leading product companies. Having mentored thousands of learners and worked extensively on AI, analytics, and machine learning solutions, Sumit brings a hiring-focused perspective on what separates successful candidates from the rest.

The session begins with a reality check: mastering Python or machine learning alone is not enough. Amazon evaluates candidates on problem-solving ability, statistical thinking, experimentation, business understanding, and the ability to generate measurable impact from data.

You’ll learn how to build a strong foundation in SQL, Python, Statistics, Machine Learning, Data Analytics, and AI, along with the project-building and interview strategies required to stand out in a competitive market.

🔍 What You’ll Learn

• Complete roadmap to become a Data Scientist at Amazon
• Essential skills: SQL, Python, Statistics & Machine Learning
• Understanding Amazon-style business metrics and experimentation
• Building portfolio projects that impress recruiters
• Resume and interview preparation strategies
• Common mistakes that slow down Data Science career growth

🚀 Session Outcome

By the end of this session, you’ll have a clear and structured roadmap to prepare for Amazon-level Data Science roles, understand the skills that matter most, and know how to position yourself for high-paying opportunities in the AI and Data Science industry.

👉 Register now to build your first AI-powered job search assistant! Limited seats.

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