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описание
The company develops mobile products with millions of users, focusing on advertising monetization, recommendation systems, personalization, and core product algorithms.
задачи
Lead Data Science initiatives focused on advertising monetization and maximize revenue while maintaining a strong user experience;
Develop ML models for ad targeting, ranking, pricing, revenue prediction, and monetization optimization;
Improve recommendation and personalization systems to increase user engagement, retention, and lifetime value;
Analyze user behavior and advertising performance to identify growth opportunities and drive product decisions;
Design, analyze, and interpret A/B tests and other experiments;
Collaborate with Product Managers, Engineers, and Analysts to define the roadmap and prioritize high-impact initiatives;
Mentor Data Scientists through technical guidance, code reviews, and best practices;
Drive the adoption of scalable ML solutions and ensure high standards for experimentation and model quality;
Present insights and technical solutions clearly to technical and non-technical stakeholders.
требования
5+ Years of experience in Data Science, preferably in consumer mobile products;
Proven experience with advertising monetization, revenue optimization, or advertising analytics;
Strong experience building recommendation, personalization, or ranking systems;
Advanced proficiency in Python and SQL;
Hands-on experience with machine learning models, including classification, regression, ranking, forecasting, and predictive modeling;
Strong understanding of experimentation methodology and applied statistics;
Experience working with large-scale behavioral datasets;
Experience leading or mentoring Data Scientists and driving technical initiatives;
Ability to translate business goals into ML solutions with measurable impact;
Native Russian language;
Nice to have: experience with mobile advertising ecosystems, recommendation systems based on embeddings, collaborative filtering or learning-to-rank, deploying ML models into production, LLMs or GenAI applications, MLOps and cloud platforms.
условия
Competitive salary and benefits package;
Flexible working hours;
Hybrid/office work options;
Career growth and professional development opportunities.
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