Senior Data Scientist - AdTech

We are seeking a Senior Data Scientist with strong machine learning expertise, analytical thinking, and business understanding to join our R&D team.

You will take ownership of key machine learning initiatives, particularly conversion prediction (CPA optimization), CTR prediction, and bidding optimization. The role focuses on translating business challenges into practical ML solutions, improving advertising performance, and maintaining existing ML models in production.

• →Develop, maintain, and optimize machine learning models, particularly CTR/CVR prediction.
• →Understand business objectives and translate them into actionable ML solutions that deliver measurable impact.
• →Analyze advertising performance, investigate anomalies, and identify opportunities for improvement.
• →Design experiments and evaluate model effectiveness using both ML metrics and business KPIs.
• →Take ownership of existing ML projects, ensuring their continuous improvement and reliability in production.
• →Collaborate with Data Scientists, Engineers, and business teams to drive ML initiatives.

• 4+ years of experience in Data Science or Machine Learning, preferably with production ML experience.
• Experience solving real-world ML problems in AdTech, FinTech, or similar domains, particularly those involving incomplete, delayed, or biased labels.
• Strong knowledge of ML algorithms, feature engineering, model evaluation, and optimization.
• Proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, or LightGBM.
• Strong business understanding and analytical problem-solving skills, with the ability to connect ML solutions to business outcomes.
• Ability to independently own ML projects, investigate issues, and drive improvements.
• Good English communication and collaboration skills.

• Experience in RTB, CTR/CVR prediction, CPA optimization.
• Knowledge of A/B testing, model calibration, and online experimentation.
• Experience with large-scale data processing and production ML systems.
• Familiarity with LLMs and AI coding assistants.

We value someone who understands not only how to build models, but also why they matter to the business — a proactive problem solver who takes ownership and focuses on real-world impact.