Informacje o stanowisku

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 and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

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 support tech communities, 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.

Your profile:

• Master’s or Ph.D. Degree in Computer Science, Statistics, Economics, or a hard science field preferred,
• 7+ years of professional experience in a Data Scientist role, with a significant focus on the advertising technology (ad-tech) space,
• deep, demonstrable expertise in DSPs, programmatic advertising, and CTV measurement,
• proven track record in developing and deploying models for bidder optimization and attribution/measurement,
• fluent in advanced statistical and machine learning techniques, with a strong command of Python and SQL.,
• upper-intermediate English (B2+),
• strong communication skills, with the ability to articulate technical concepts and complex model results to non-technical stakeholders.
• Work from the European Union region and a work permit are required.

Nice to have:

• experience with GCP and the Vertex AI ecosystem, as well as other tools such as feature stores and experiment tracking,
• experience with LLMs and agentic AI frameworks/solutions, with special focus on evaluation.

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 and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

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 support tech communities, 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.

,[architecting and implementing machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for pogrammatic campaigns with focus on CTV,, leading the design of the model orchestration layer to solve complex multi-objective optimization challenges,, working at the intersection of Product and Engineering, ensuring the model suite operates in sync to maximize performance across conflicting business KPIs,, driving data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes,, collaborating closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance,, conducting deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations,, serving as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly,, mentoring junior data scientists and contributing to the team’s culture of rigorous experimentation, statistical excellence, and innovative problem-solving. Requirements: DSP, Python, SQL, GCP, VertexAI Additionally: Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere :).

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