👉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.