Current offer · 2026-08-28
Project description
Senior Data Scientist specializing in ML Scoring Models (Deep Learning) for Advertising and Ranking Domains (Sponsored Offers). Drive the design, refinement, and evaluation of scoring models (e.g. CTR, CVR, RoAS) integral to core bidding logic.
Key responsibilities
- Drive the design, refinement, and evaluation of ML scoring models (CTR, CVR, RoAS) for core bidding systems.
- Architect model strategies integrating user, product, and placement signals for high-throughput and low-latency environments.
- Partner with engineering and business stakeholders to translate strategic goals into technical roadmaps.
- Provide technical leadership and quality assurance for Data Science workstreams.
- Mentor Data Scientists and raise modeling and engineering standards across the team.
Required qualifications
- Extensive hands-on experience in designing, training, and improving Deep Learning models for production use cases.
- Proven expertise in PyTorch or TensorFlow, alongside strong Pandas and NumPy proficiency.
- Advanced SQL skills in large-scale data environments (preferably BigQuery).
- Strong experience with cloud infrastructure, preferably Google Cloud Platform (GCP, Vertex AI, Vertex Pipelines).
- Proven ability to lead end-to-end model development from framing to production handoff.
- Strong engineering foundations: production-level, testable Python code with CI/CD and Docker familiarity.
- Academic degree or extensive professional experience in a STEM field.
- English proficiency (at least B2 level).
Nice to have
- Experience developing ML models for low-latency online applications.
- Experience within the advertising or marketing domains.
- Demonstrated experience in CTR / CVR modeling.
- Proficiency in traditional machine learning techniques (Gradient Boosted Trees).
- Practical use of AI-assisted coding tools.
Language requirements
English (B2+ level)