Senior Data Scientist (DSP)

Xebia is a global tech company with origins in Central and Eastern Europe, formed from two Polish companies: PGS Software and GetInData. The company has over 1,000 experts working across cloud, data, and software projects. Xebia serves clients in various industries including fintech, e-commerce, aviation, logistics, media, and fashion, with notable clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, and InPost. The company is a trusted partner of Databricks, dbt, Snowflake, Azure, GCP, and AWS, and was the first AWS Premier Partner in Poland.

• 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 significant focus on advertising technology (ad-tech)
• 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
• Strong command of Python and SQL
• Upper-intermediate English (B2+)
• Strong communication skills 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, including feature stores and experiment tracking
• Experience with LLMs and agentic AI frameworks/solutions, with special focus on evaluation

• Architect and implement machine learning models for campaign optimization, focusing on bid strategies, budget allocation, and pacing algorithms within the DSP environment for programmatic campaigns with a focus on CTV
• Lead the design of the model orchestration layer to solve complex multi-objective optimization challenges
• Work at the intersection of Product and Engineering to ensure the model suite operates in sync to maximize performance across conflicting business KPIs
• Drive data and ML strategy for audience segmentation and targeting capabilities, utilizing first- and third-party data sources to enhance product performance and advertiser outcomes
• Collaborate closely with Product and Engineering teams to integrate new models and data pipelines into production systems, ensuring scalability and performance
• Conduct deep-dive analytics to uncover strategic insights into campaign performance, market trends, and audience behavior, translating findings into actionable product recommendations
• Serve as a subject matter expert in ad-tech data science for internal and external stakeholders, presenting complex methodologies and results clearly
• Mentor junior data scientists and contribute to the team’s culture of rigorous experimentation, statistical excellence, and innovative problem-solving

• Training budget
• Private healthcare
• Multisport subscription
• 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

Work from the European Union region and a work permit are required.