Senior Data Scientist

<h2><b><span>Who A</span><span>re</span></b><span><b> We? </b> </span><br/><span><span>We are a team that brought </span><span>you </span><span>Norton, Avast, LifeLock, Avira, AVG, </span><span>ReputationDefender</span><span>, and </span><span>CCleaner</span><span>, d</span><span>edicated to providing cybersecurity, privacy, and identity protection to over 500 million users in 150 countries. At Gen, we offer flexible working options, generous time off, and competitive benefits in a diverse and inclusive environment where every team member is valued and celebrated. If you are smart, fearless, and dedicated, join us to power Digital Freedom and help consumers take control of their digital lives.</span> </span><br/><span> </span><br/><b><span>How W</span><span>e </span><span>Work? </span></b><br/><span><span>We love to work together and collaborate in our teams, which is why we opted for a hybrid model, allowing us to work from the office 2-3 times per week.</span></span></h2><h2><span> </span></h2><h2><span><span>For our Analytics and Data Science team in </span><span>Prague</span><span> </span><span>w</span><span>e're</span><span> </span><span>seeking</span><span> a highly motivated Senior Data Scientist to join our dynamic team and play a key role in unlocking the power of our data</span><span>.  </span><span>In this </span><span>senior</span><span> role, </span><span>the</span><span> candidate</span><span> will go beyond building models – </span><span>he/she will</span><span> partner with stakeholders across the business to </span><span>identify</span><span> strategic </span><span>op</span><span>portunities</span><span> and </span><span>leverage</span><span> </span><span>the</span><span> </span><span>expertise</span><span> in machine learning, statistical analysis, and data visualization to design and implement innovative solutions that solve real-world problems and propel our business forward</span><span>.</span></span><span> </span></h2><h2><span> </span></h2><h2><span><span>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 </span><span>required</span><span>.</span></span><span> </span></h2><h2><span> </span></h2><h2><b><span>Objectives: </span></b></h2><ul><li><h2><span><span>Lead and execute data science projects from conception to deployment, ensuring they align with business goals.</span></span><span> </span></h2></li><li><h2><span><span>Design, develop, and implement machine learning models to solve complex business problems and predict future outcomes.</span></span><span> </span></h2></li><li><h2><span><span>Collaborate with business stakeholders to understand their needs and translate data into actionable strategies.</span></span><span> </span></h2></li><li><h2><span><span>Clean, transform, and analyze large datasets from various sources, ensuring data quality and consistency.</span></span><span> </span></h2></li><li><h2><span><span>Develop and </span><span>maintain</span><span> a scalable and robust data science infrastructure.</span></span><span> </span></h2></li><li><h2><span><span>Mentor junior data scientists and share your </span><span>expertise</span><span> to foster a collaborative and innovative data science team.</span></span><span> </span></h2></li><li><h2><span><span>Communicate complex technical concepts to a non-technical audience in a clear and concise manner.</span></span><span><span> </span></span><br/><span><span> </span></span><span> </span></h2></li></ul><h2><b>Competencies<span><span>:</span></span><span> </span></b></h2><ul><li><h2><span><span>Graduate degree in physics, computer science, engineering, mathematics, </span><span>statistics, </span><span>or related field; alternatively, a comparable industry career with a proven </span><span>track record</span><span> of successful AI</span><span>/ML/DS</span><span> projects in production.</span></span><span> </span></h2></li><li><h2><span><span>Responsible for data preparation</span><span> and </span><span>analysis </span><span>of complex SQL queries</span><span> to </span><span>becom</span><span>e</span><span> a SME of data sources for brand(s).</span></span><span> </span></h2></li><li><h2><span><span>Experience in </span><span>any of the following frameworks or libraries</span><span> for model development</span><span>: </span><span>TensorFlow, </span><span>PyTorch</span><span>, </span><span>Keras</span><span>, Vertex AI, </span><span>PySpark</span><span>, MPI, <span>Pandas/NumPy/SciPy/Scikit-learn</span></span><span>, Stan, R, MATLAB</span><span> (or others </span><span>not listed</span><span>).</span></span><span> </span></h2></li><li><h2><span><span>Experience in using cloud services and platforms, such as GCP, Azure, AWS, etc. </span></span><span> </span></h2></li></ul><ul><li><h2><span><span>Curiosity, strong analytical mind, willingness to learn and desire to make an impact.</span></span><span>