Gen is a global leader in cybersecurity. Explore our trusted consumer brands including Norton, Avast, LifeLock, MoneyLion, Avira, AVG, ReputationDefender, and CCleaner.
About the role
Our team is a core part of Gen’s AI transformation. We build machine learning systems that directly improve customer growth, retention, personalization, pricing, recommendations, billing success, and long-term customer value across a large global consumer
What they're looking for
- • Applied ML experience: Five or more years of professional experience in applied machine learning, data science, ML engineering,
- applied statistics, or a related field, or equivalent demonstrated impact
- • Large-scale data: Experience building and evaluating models using large-scale behavioral, transactional, product, marketing, or
- customer data
- • Experimentation: Experience designing experiments, defining success metrics, measuring incrementality, interpreting results, and
- translating findings into practical product or business decisions
More about this role
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast,
LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital
generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions
to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and
financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move
faster and deliver meaningful results.
When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible
working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous
learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who...
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