Mid/Senior Data Scientist (Incogni)

Our Data Science team, working with 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 NLP and generative AI We follow 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 look forward to 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 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;

Evaluate and apply modern NLP approaches, from classical methods to transformer-based and generative models, with a pragmatic focus on 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 a track record of owning and delivering models to production;

Strong NLP background, including hands-on experience with text modeling, embeddings, transformers, and LLM-based systems;

Advanced Python skills, with the ability to 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 common failure modes;

Ability to translate business problems into modeling approaches and explain results clearly without relying on jargon;

Experience working in modern engineering environments, including code reviews, testing, version control, and 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 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;