Senior Data Analyst
Location: Ho Chi Minh City, Vietnam
Team: Data Science
Report to: Head of Data Scientist
Come help us optimize the learning journey of hundreds of thousands of our users by analyzing their past behavior, predicting what they might do next, and proposing relevant changes in the apps or the servers. At ELSA we are building the best AI-powered English-speaking assistant with over 10M app downloads.
About the Company:
ELSA (English Language Speech Assistant) is a startup founded in 2015 by Stanford alum Ms. Vu Van, and Dr. Xavier Anguera, a veteran in speech recognition and AI. ELSA’s app, which is called ELSA Speak, listens to the way language learners pronounce words, sentences or conversations to pinpoint exact errors and provide real-time, accurate feedback on their pronunciation mistakes with specific suggestions on how to improve. The company built its own proprietary speech technology using deep learning and A.I. to detect people’s pronunciation mistakes with 95%+ accuracy. Based in San Francisco, ELSA has raised $27 million in capital and is backed by leading VCs in Silicon Valley, Southeast Asia and Japan. ELSA Speak is available for iOS and Android and is used by more than 13 million users in over 100 countries. The company has offices in Portugal, Vietnam, India, Indonesia and Japan.
ELSA has been recognized as Top 5 Best Artificial Intelligence Apps (by Research Sniper); and Top 4 Companies Using AI To Transform The World (by Forbes)
At ELSA we know how important it is to know our customers in order to serve them best. For this reason, we adopt many aspects of the apps and the speech processing algorithms based on what we learn from our users over time.
In the data science team, there is a huge opportunity to work with our talented data scientists and data engineers in various projects related to data analytics, business intelligence, and machine learning. We are looking for top-notch data analysts for analyzing valuable insights related to our users, products, and business, developing analytic reports, and troubleshooting data issues.
As part of your role you will:
What do you need?
Why will you love working here?
How to apply?
Apply now to maximize your talents and make a real impact! Send your CV and a short introduction on why you want to join ELSA to [email protected] We love to see your application.
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