Work on intelligent decision-making mechanisms for a large-scale auction platform, optimizing revenue and advertiser value while leveraging AI-driven approaches and advanced analytics.
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
The project focuses on developing intelligent decision-making mechanisms for a large-scale auction and bidding platform. By combining predictive signals, system data, and AI-driven approaches, the system supports and optimizes business decisions across the ecosystem.
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.
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).
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.
Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/
CV review – HR call – Interview – Client Interview I – Client Interview II – Hiring Manager Interview - Decision
Xebia is a global tech company that specializes in developing cloud, data, and software solutions for clients across diverse industries. With a strong focus on innovation and strategic partnerships with leading cloud providers, they tackle impactful projects for notable brands like McLaren, Spotify, and Disney.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Scientist Q&A's