Mid-Level Data Scientist – Machine Learning & Advertising Domains

Our client is a leader in digital advertising technology, focusing on advanced machine learning models for bidding, ranking, and content optimization in online advertising.

• At least 3 years of experience in data science or related fields with a focus on machine learning development and deployment.
• Proficiency in Python, PyTorch or TensorFlow, Pandas, and NumPy.
• Solid knowledge of SQL, preferably BigQuery or similar analytic SQL.
• Extensive experience with public cloud platforms, specifically Google Cloud Platform (Vertex AI, Pipelines).
• Proven track record in designing and training deep neural networks in production environments.
• Academic background or extensive professional experience in STEM fields such as Computer Science, Mathematics, or Physics.
• Strong engineering skills including writing reliable, testable, and documented code with familiarity in CI/CD practices.

Nice to have:

• Experience developing low-latency ML models for real-time applications in online advertising.
• Background in advertising or marketing industry.
• Experience in predictive modeling for business metrics like CTR and CVR.
• Knowledge of Real-Time Bidding (RTB) algorithms and Demand Side Platforms.
• Familiarity with traditional machine learning techniques such as Random Forests or Gradient Boosted Trees.
• Practical experience using AI-assisted coding tools to boost productivity and code quality.

• Design and optimize machine learning models targeting key performance metrics such as CTR, CVR, and RoAS.
• Architect complex models integrating diverse data signals including user, product, publisher, and placement features.
• Fine-tune models for high-throughput, low-latency online environments.
• Develop models for Dynamic Content Optimization within the DSP platform, including retargeting scenarios.
• Collaborate across teams to ensure model deployment, monitoring, and continuous improvement.
• Write production-quality, tested, and well-documented Python code using CI/CD workflows and cloud infrastructure.

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