👉Data Scientist

🟣You will be: • designing and developing bidding and optimization strategies for CPC-based auction systems, including advanced objectives such as target ROAS, • optimizing auction mechanisms (ranking, pricing, filtering) to balance platform revenue, advertiser value, and marketplace stability, • building and maintaining offline simulation environments, including counterfactual simulations and auction replay systems, to safely evaluate algorithmic changes, • designing and implementing feedback loops and control mechanisms to ensure stable and robust system behavior under dynamic market conditions, • conducting advanced ecosystem-level analytics on large-scale datasets to identify nonlinear effects, equilibrium points, and systemic risks, • designing, executing, and analyzing complex experiments and causal inference studies, accounting for network effects and long-term system impact, • contributing to the evolution toward smart, autonomous bidding and auction optimization through data-driven initiatives and roadmap development. 🟣 Your profile: • proficiency in Python and SQL, with experience working on large-scale datasets, data analysis, statistical modeling, and algorithm prototyping, • experience working with Big Data environments or distributed data processing systems, • strong quantitative background in Mathematics, Statistics, Data Science, Optimization, Decision Science, or Operations Research, • solid understanding of optimization theory, including linear, nonlinear, constrained, and stochastic optimization, • knowledge of game theory and market mechanisms, particularly in competitive or auction-based environments, • experience designing and implementing algorithms under multiple objectives and constraints, considering ecosystem-wide impact, • strong analytical and system-level thinking, with the ability to reason about feedback loops, system dynamics, and equilibrium behavior and translate business goals into quantitative solutions, • ability to collaborate effectively in cross-functional, international teams and very good command of English (spoken and written). 🟣 Nice to have: • experience with auction systems, bidding strategies, or advertising technology, • familiarity with control theory concepts, such as PID controllers or similar feedback mechanisms, • exposure to causal inference, experimentation platforms, or advanced A/B testing setups, • background in economics, mechanism design, marketplace optimization, or experience working with large-scale decision systems. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Hiring Manager call – Decision    🎁 Benefits 🎁 ✍ Development: • development budgets of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, • access to Udemy, O'Reilly (formerly Safari Books Online) and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • B2B or employment contract, • contract for an indefinite period.