About this Masterclass

Working abroad is a dream of many. Apart from looking good on resumes or the high-paying opportunities abroad, one must know how to deal with projects that use the newest technologies. It gives you exposure to working on great problems and meeting a lot of talented people at your workplace.

But, how to stand out from the talented pool of Data Scientists and prove your skills to the hiring managers? What is the ideal preparation strategy to ace those nerve-racking interview rounds? And most importantly, what should you keep in mind while applying for Data Science jobs abroad?

Have lots of questions about your dream career as a Data Scientist?

Get all your answers on 19th Feb, Sunday at 5 PM by Ramit Sawhney, LIVE. Register Now!

What You Will Learn From This Session

• Choosing roles and companies to apply 

• Interview Preparation Strategy after company shortlisting

• Increasing credibility towards recruiters even if you have no professional Data Science experience

• What to expect during the job search process

• International transfers within a multinational company

Meet Ramit Sawhney (LinkedIn)

• Lead AI Scientist, Share Chat

• Research Group Lead, IIT Delhi

• Affiliate Researcher, University of South Carolina

• Research Associate, Georgia Institute of Technology

• Engineering Manager, Tower Research Capital

About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating in their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take your career to the next level, via: 

• A structured, guided, and industry-vetted curriculum

• Live classes by faculty who have been there, done that

• Regular 1:1 mentorship from industry veterans 

• Practical experience through real-life projects

• Career support via a dedicated recruitment team, alumni network, etc.

• Aspirational peer group of 3,500+ Scaler students & alumni