Senior Data Scientist – Machine Learning & Advertising

Our client is a leader in innovative digital advertising solutions, focusing on advanced machine learning models to enhance advertising campaign performance and user engagement.

• At least 5 years of hands-on experience in designing and optimizing Deep Learning models for production use cases.
• Expertise with frameworks such as PyTorch or TensorFlow, complemented by practical skills in Pandas and NumPy.
• Advanced SQL proficiency, including analytical SQL in large-scale environments (e.g., BigQuery).
• Strong experience with cloud platforms, preferably Google Cloud Platform, including Vertex AI and Vertex Pipelines.
• Proven ability to lead full lifecycle model development, from problem framing to deployment and monitoring.
• Solid engineering foundations, including writing production-quality Python code, with familiarity with CI/CD practices.
• Excellent communication skills in English (at least B2 level) and a collaborative mindset.

Nice to have:

• Experience developing ML models for low-latency online applications.
• Background in advertising or marketing domains.
• Proven experience in predicting business events such as clicks and conversions (CTR/CVR modeling).
• Proficiency in traditional ML techniques like Gradient Boosted Trees.
• Practical experience utilizing AI-assisted coding tools to boost engineering productivity.

• Drive the design, refinement, and evaluation of ML scoring models (e.g., CTR, CVR, RoAS) crucial to core bidding logic.
• Architect complex model strategies integrating user, product, and placement signals for high-throughput, low-latency environments.
• Collaborate with engineering and business teams to translate strategic objectives into measurable modeling outcomes and technical roadmaps.
• Provide technical leadership and ensure quality standards across Data Science workstreams, aligning with production best practices.
• Lead end-to-end model development—from problem framing and feature engineering to evaluation and deployment.
• Mentor fellow data scientists, elevating modeling standards and promoting knowledge sharing within the team.

Only candidates with an existing legal right to work in the European Union will be considered for this role.