Senior Data Scientist

• Extensive hands-on experience in designing, training, and improving Deep Learning models for business-critical production use cases.
• Proven expertise in deep learning frameworks such as PyTorch or TensorFlow, as well as strong practical knowledge of Pandas and NumPy.
• Advanced SQL skills, preferably including analytical SQL used in large-scale data environments.
• Strong experience with public cloud infrastructure, preferably Google Cloud Platform, including ML- oriented services such as Vertex AI and Vertex Pipelines.
• Proven ability to lead end-to-end model development, from problem framing and feature design to evaluation and production handoff.
• Strong engineering foundations, including writing production-level, testable, and documented Python code, with familiarity with CI/CD practices.
• Ability to mentor other Data Scientists and raise modeling standards across the team.
• Relevant academic degree or extensive professional experience in a STEM field (e.g. Computer Science, Mathematics, Mathematical Statistics, Quantitative Methods, or Physics).

English level min. B2.

• Experience in developing ML models for low-latency online applications.
• Experience within the advertising or marketing domains.
• Demonstrated experience in developing ML models for predicting business events like clicks or conversions (i.e., Click-Through Rate (CTR) and Conversion Rate (CVR) modelling).
• Proficiency in traditional machine learning techniques, such as Gradient Boosted Trees.
• Experience in mentoring, technical leadership, or coordinating model development across a broader team.
• Practical use of AI-assisted coding tools to improve engineering productivity and quality.
• and Low-Latency Model Development.