Mid/Senior Data Scientist (Tesonet Global, UAB)

Job description:
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, including classification, entity matching, and extraction, as well as LLM-powered text analysis;
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.
Requirements:
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 NLP background, including hands-on experience with text classification, embeddings, and LLM-based systems
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
Company offers:
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…