Senior Data Scientist

Gen is a global company promoting Digital Freedom through its consumer brands such as Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is grounded in providing safety to the pioneer digital generations. We deliver leading-edge solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries, enabling them to navigate their digital lives with safety, privacy, and confidence, not just for now, but for generations to come. We are constantly seeking smart, fearless, and dedicated individuals. Together, we share the same passion and the grand vision of promoting Digital Freedom by safeguarding consumers and offering them control over their digital lives. As a part of Gen, you will have access to a plethora of resources and support to facilitate your best work and lifestyle. This includes flexible working options with generous amounts of time off and competitive benefits & compensation packages. Diversity is foundational to our business as we believe that the best ideas and results stem from our unique perspectives and differences. We aspire to foster a safe and inclusive environment where you can be yourself at work. Team members are valued, respected and celebrated for their individuality in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer where employment decisions are purely based on merit, experience, and business necessities. If you resonate with our dynamic, supportive culture, fueled by core values promoting diversity, collaborative efforts, and enabling each team member to contribute and grow, join us! Position: Senior Data Scientist We are seeking a hands-on, result-oriented, intellectually curious, self-learning Senior Data Scientist to join our Product Analytics Team. Our mandate is to discover actionable insights regarding our customers and to translate this understanding into data products that would enhance our products, customer experience and performance of the business. Role: The role entails working with data from tens of millions of users and billions of data points. Specifically, you will be involved in advancing our analytical framework through predictive analytics, experimentation framework and automation. A few of the projects would involve LTV (lifetime value) prediction, early signal analysis for performance and retention, and improving the statistical analysis of AB testing. The position is located in Czechia. Responsibilities: Keeping abreast with the most recent developments in statistical and machine learning techniques and applying them to our business challenges, developing and maintaining predictive models, classifiers and other data products to drive user engagement and retention, support and development of our model for predicting LTV, identifying and analyzing customer behaviors to aid tactical and strategic decision-making and integration into our processes, operations and products, managing whole lifecycle of the models from start to finish, further bolstering our experimentation framework providing conclusive AB test results, and working alongside the Engineering and Product teams to ensure appropriate metrics and dimensions incorporated into our data sets and integration of our data products into our infrastructure. Requirements: A minimum of five years experience in a data science role, excellent communication skills with a solid ability to transform key insights into actionable steps, an ability to build, test, deploy, and improvise statistical models and report on model performance, hands-on experience with Pandas, experience of using Databricks, proficiency in handling large multi-dimensional data sets using open-source, parallel-processing frameworks like Apache Spark, proficient with Python, SQL and Jupyter analytical notebooks, concrete understanding of statistics, especially for evaluation of AB tests, understanding of machine learning and its application in enhancing user engagement and user retention, experience of data science on a cloud (Azure or Google Cloud or AWS), experience with Google Cloud technology stack would be advantageous. What we offer: An annual bonus scheme, unlimited PTO (paid time off), flexible working hours & home office, the chance to be a part of a major global tech company listed on the S&P 500, opportunity to learn and work with the best in the Digital Security industry, Cafeteria points provided by Benefit Plus (meal plan, pension insurance, travel, leisure activities, multisport card and much more), reimbursement for job-related courses, Learning & Development plan, sustainable home improvement bonus, Mac/Windows laptop and mobile phone provided. 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 solely on merit, experience, and business needs, irrespective of 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 qualified individuals with arrest and conviction records for employment. 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. Applicants need to be eligible for any required authorizations from the U.S. Government to conform to U.S. export control regulations.