Experimentation Engineer

We're more than just a company; we're a global leader in digital safety. With a strong commitment to ensuring everyone can navigate the digital world securely, we unite the best minds and cutting-edge technology through our family of brands: Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Together, we protect over 500 million people worldwide. Our workplace is built on inclusivity, where your well-being is a top priority. We believe that success comes from balance and authenticity. When you thrive, you become unstoppable. Bring your bold ideas and relentless drive, and join us in shaping the digital world. Ready to make an impact? Join #TeamGen.

We love collaborating within our teams, which is why we've adopted a hybrid model allowing us to work from the office 2–3 times per week.

Our mission is to empower the Customer Success Management team and drive strategic growth through the effective use of Marketing Technology Platforms. By leveraging data insights and fostering a culture of experimentation and data-driven decision-making, we aim to enhance customer communication, improve user retention, and maximize cross-sell and up-sell opportunities for our expansive product portfolio.

Goals:

• Boost Platform Adoption: Increase user adoption of Marketing Technology Platforms.

• Drive Data Insights: Achieve an increase in customer messaging engagement and identify improvement opportunities.

• Foster Experimentation: Raise A/B testing adoption across the company and present at various internal and external knowledge sharing sessions and conferences.

What You’ll Do in This Role:

• Analyze customer data and the usage of our platforms by internal customers.

• Work with Jupyter notebooks and experiment with various machine learning models.

• Troubleshoot potential data issues.

• Set up A/B testing experiments and guide others in following best practices for experimentation.

• Showcase new platform features in knowledge-sharing sessions (prepare hackathons, workshops, presentations).

• Actively seek new opportunities and gaps in our platforms, collaborating with PMs and engineering teams to address them.

• Assist in coding and setting up In Product Messaging campaigns.

What You’ll Need to Be Successful in This Role:

• Experience with A/B testing at a statistical level.

• Excellent communication skills.

• Data science experience with statistical analytics.

• Experience using machine learning models.

• Proficiency in Python programming for data science.

• Familiarity with Python/Jupyter Notebooks (or equivalent).

• Previous experience with Marketing Technologies or Customer Success Management is a plus.

• Coding experience (HTML, JavaScript, CSS) is a plus.

Benefits:

• Annual bonus scheme.

• Unlimited PTO (paid time off) and flexible working hours.

• Opportunity to join a major global tech company listed on the S&P 500.

• Chance to learn and work with the best in the Digital Security industry.

• Cafeteria points provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and more).

• Tuition reimbursement for job-related courses.

• Learning and Development plan.

• Sustainable home improvement bonus.

• Wellness/Fitness Reimbursement Program.

• Mac/Windows laptop and mobile phone.

Gen is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive and accessible environment for all employees. All employment decisions are based on merit, experience, and business needs, without regard to race, color, national origin, age, religion, sex, pregnancy (including childbirth or related medical conditions), genetic information, disability (physical or mental), medical condition, marital status, sexual orientation, gender identity or gender expression, military or veteran status, or any other consideration made unlawful by federal, state, or local law. Gen strictly prohibits unlawful discrimination based on such protected characteristics and seeks to recruit the most talented candidates from diverse cultures and backgrounds. 

We also consider employment-qualified individuals with arrest and conviction records. In addition, we will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Learn more about pay transparency. 

Gen complies with all anti-discrimination laws. 

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