Our Data Science team, working with Surfshark and Incogni products, is looking for a skilled Data Scientist. Work challenges span from time series modeling and attribution models to NLP and generative AI.
We are dedicated to a value-driven approach and are deeply committed to contributing to the growth and success of our products. If you are enthusiastic about cybersecurity, data protection, and data science, we await your application!
If you want to:
- Design, build, and productionize NLP-heavy machine learning systems, including text classification, entity extraction, semantic similarity, and LLM-based workflows;
- Write clean, efficient, and testable Python for data pipelines, feature engineering, modeling, and evaluation;
- Own models end-to-end: problem framing, data exploration, modeling choices, validation, deployment, and iteration;
- Work closely with product, engineering, and UX to turn ambiguous problems into concrete, data-driven solutions;
- Evaluate and apply modern NLP approaches, from classical methods to transformer-based and generative models, with a pragmatic bias toward impact;
- Communicate findings clearly to both technical and non-technical stakeholders, focusing on decisions, trade-offs, and outcomes rather than theory.
And you can check off:
- Proven experience in applied data science or machine learning, with clear ownership of shipped models;
- Strong NLP background, including hands-on experience with text modeling, embeddings, transformers, or LLM-based systems;
- Advanced Python skills: you write production-quality code;
- Solid SQL skills and experience working with large, imperfect, real-world datasets;
- Strong understanding of machine learning fundamentals, model evaluation, and failure modes;
- Ability to translate business problems into modeling approaches, and to explain results without hiding behind jargon;
- Experience working in modern engineering environments (code reviews, testing, version control, CI/CD).
Here’s the deal:
- 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, a physical coach and a gym to regular mental health checks;
- Tools of your choice: choose technical equipment and the tools you need to do your best;
- Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
- Convenient commuting: traveling from point A to point B can be a pain. That’s why, depending on your unique circumstances, we compensate part of your public transport costs;
- 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;
- Premium Surfshark accounts: for you, your family, and friends;
- Gross salary: 3500-6800 Eur/month for the Lithuanian market, 20450-30000 PLN/month for the Polish market. It may vary depending on your skills and experience.
