Mid/Senior Data Scientist

Our Data Science team, working across Surfshark and Incogni products, is looking for a skilled Data Scientist. Our projects cover a broad spectrum of data science challenges, from time series modeling to traditional NLP and generative AI. We follow a value-driven approach and are deeply committed to the growth and success of our products. If you're enthusiastic about cybersecurity, data protection, and data science, we'd love to see your application.

• Design, develop, and deploy machine learning solutions for real-world problems, with a focus on high-impact projects like churn prevention, fraud detection, customer lifetime value (LTV) prediction, and scam identification;
• Write clean, efficient, and testable Python code for data pipelines, feature engineering, modeling, and evaluation;
• Own models end to end: problem framing, data exploration, model selection, validation, deployment, and iteration;
• Work closely with product and engineering teams to turn ambiguous problems into concrete, data-driven solutions;
• Explore, evaluate, and apply modern ML approaches, from established algorithms to state-of-the-art techniques, balancing model performance, complexity, and real-world impact;
• Communicate findings clearly to both technical and non-technical stakeholders, focusing on decisions, trade-offs, and outcomes to drive informed business decisions.

• Proven experience in applied machine learning, with a track record of independently owning and delivering ML projects from problem definition to validated results or production;
• Strong ML background, including hands-on experience with modeling structured and unstructured data;
• Advanced Python skills, with the ability to write clean, efficient, and maintainable code;
• Solid SQL skills and experience working with large, imperfect, real-world datasets;
• Strong understanding of machine learning fundamentals, model evaluation, and common failure modes;
• Ability to translate ambiguous business problems into practical ML solutions, make informed technical decisions, and communicate results and trade-offs clearly;
• Experience with collaborative development practices, including version control, code reviews, testing, and reproducible experimentation;
• Comfort with AI-assisted coding tools to improve development efficiency, while maintaining high standards for code quality, correctness, and maintainability.

• Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
• Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts and a physical coach to health insurance and regular mental health checks;
• Tools of your choice: choose the technical equipment and tools you need to do your best work;
• Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
• Work-life balance: We encourage working in the office, with the possibility of up to two remote days per week. Plus, with our WFA policy, you can work from almost anywhere in the world;
• More days off: additional vacation days depending on your tenure;
• Premium Surfshark accounts: for you, your family, and friends;