Senior Data Scientist (DSP)

Confirmed live in the last 24 hours

Xebia CEE

Bulgaria; Moldavia; Poland; Romania

On-site

Posted April 2, 2026

Job Description

Hello, let’s meet!

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.

You will be:

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.