Mid/Senior Data Scientist

Surfshark

Skills

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.

time dedicated to learning, conferences, online learning platforms, and books for your professional development;
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;
choose the technical equipment and tools you need to do your best work;
get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
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;
additional vacation days depending on your tenure;
for you, your family, and friends;