Senior Data Scientist

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come.

We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages. Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs. If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!

About the role

For our Analytics and Data Science team in Prague we're seeking a highly motivated Senior Data Scientist to join our dynamic team and play a key role in unlocking the power of our data. In this senior role, the candidate will go beyond building models – he/she will partner with stakeholders across the business to identify strategic opportunities and leverage the expertise in machine learning, statistical analysis, and data visualization to design and implement innovative solutions that solve real-world problems and propel our business forward. 

We expect the successful candidate to have a degree in a quantitative field from a leading university and at least 5 years of experience in a relevant position. Fluent English is required. 

Responsibilities: 

• Lead and execute data science projects from conception to deployment, ensuring they align with business goals. 

• Design, develop, and implement machine learning models to solve complex business problems and predict future outcomes. 

• Collaborate with business stakeholders to understand their needs and translate data into actionable strategies. 

• Clean, transform, and analyze large datasets from various sources, ensuring data quality and consistency. 

• Develop and maintain a scalable and robust data science infrastructure. 

• Mentor junior data scientists and share your expertise to foster a collaborative and innovative data science team. 

• Communicate complex technical concepts to a non-technical audience in a clear and concise manner. 
    

Requirements: 

• Graduate degree in physics, computer science, engineering, mathematics, statistics, or related field; alternatively, a comparable industry career with a proven track record of successful AI/ML/DS projects in production. 

• Responsible for data preparation and analysis of complex SQL queries to become a SME of data sources for brand(s). 

• Experience in any of the following frameworks or libraries for model development: TensorFlow, PyTorch, Keras, Vertex AI, PySpark, MPI, Pandas/NumPy/SciPy/Scikit-learn, Stan, R, MATLAB (or others not listed). 

• Experience in using cloud services and platforms, such as GCP, Azure, AWS, etc.  

• Curiosity, strong analytical mind, willingness to learn and desire to make an impact. 

• Excellent communication and presentation skills. 

• Ability to work independently and in a team.  

Preferred Qualifications: 

• Experience in continuous integration/deployment (CI/CD) best practices 

• Experience with experimental design 

What We Can Offer:

• Annual bonus scheme

• Unlimited PTO (paid time off), flexible working hours & home office.

• The chance to join 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 are provided by Benefit Plus (meal plan, pension insurance, travel, free time activities, multisport card, and much more).

• Tuition reimbursement for job-related courses

• Learning & Development plan.

• Sustainable home improvement bonus

• Mac/Windows laptop and mobile phone