Junior Researcher

Gen Digital was created by merging Avast and Norton LifeLock, two global leaders in cyber safety, with thousands of employees in more than 35 countries. The company is dedicated to helping secure the devices, identities and online privacy of hundreds of millions of its consumers. It provides them with a trusted ally in a complex digital world. Gen Digital’s research lab is a key contributor to this success as it focuses on enhancing safety by researching new security and privacy paradigms. 

The most fundamental security paradigm in the current digital world is human-centric cyber safety. Paradigm recognizes that attackers increasingly exploit vulnerabilities in human nature. Its goal is to protect users from manipulative communication used by scammers, algorithmic manipulation used by big tech companies, and misinformation spread in media and social networks. To achieve this goal, we must leverage the newest AI innovations but stay focused on transparency and respect the privacy of our customers. 

We are looking for a junior Data Scientist to help us build a portfolio of AI-powered scam protection solutions to help people around the world feel safe during their online interactions. 

As online scams are increasingly more prevalent and sophisticated, the significance of robust AI-powered scam detection solutions has become paramount. However, achieving such a solution is challenging due to the constantly evolving tactics and methods employed by scammers. To keep pace with emerging scam trends, researchers must stay proactive and develop adaptive, self-learning models. Collaboration between security experts and AI researchers is key to achieving effective and resilient scam detection solutions. The role will be focusing on following the very dynamic scam ecosystem, applying machine-learning and AI to develop new scam detection solutions and identifying new trends that need to be focused on in the future. 

Responsibilities 

• Following trends in online scams 

• Using data science to gain insights into open problems 

• Applying machine-learning techniques to develop solutions 

• Collaborating with AI and security experts to create robust scam detection systems 

• Having fun in implementing new and crazy ideas! 

Requirements 

• Scripting and programming skills in Python 

• Basic knowledge of the cyber security domain 

• Experience with machine learning and generative AI 

• Dedicated enthusiasm and courage to digest, hack, and dive into the unknown 

• Communication, presentation, and problem-solving skills 

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.