Internship 2022 - NLP Data Scientist

  • 🏛️certik
  • 🏷️
    Engineering
  • 🌐
    New York / Remote
  • 📅19 days ago

Description

About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness.
 
CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. To date, we have collectively worked with over 3200 enterprise clients, helped secure over $310 billion worth of digital assets, and detected over 31,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Terra, Yearn, and Chiliz. Our Q1 2021 revenues have more than quadrupled the revenue of the full 2020 year. Since Q1 2020, our team size has more than doubled, and this rate of growth will continue in 2021, creating a highly effective, remote-friendly culture with talents located worldwide.
 
CertiK just raised over $230 million in Series B, B+, B2 and B3 funding rounds over four months in 2021, putting the company over  $2 Billion in valuation. Our investors include top VCs like Insight Partners, Sequoia, Tiger Global, Advent International, Goldman Sachs, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.

About the Role
CertiK is looking for a Data Scientist Intern who has experience with machine learning and is interested in learning more about natural language processing and analyzing social media data from platforms such as Twitter, Reddit, Instagram, Telegram, and more.

About You
You are creative, fascinated by human language and behavior, and excited by the ability to turn data into insights to help our users detect fraudulent behavior, identify sophisticated sentiment trends, filter and categorize news, and make smarter investment decisions.

You are interested in learning more about cutting-edge natural language processing techniques and how to sift through enormous social media and language data sets to discover patterns, formulate problems, and create clever solutions using a variety of methods. You also want to find out what it is like to work with a team of data scientists and engineers, and see how data analytical products are created from scratch.