Senior Data Scientist

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities
• Design, build, and own scalable, end-to-end data pipelines
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains
• Build and maintain data models for real-time (online) processing
• Contribute to the creation of new data-driven products and continuously improve existing ones
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models
• Previous experience in the Ad-Tech industry
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques
• Solid understanding of databases and SQL for data analysis and retrieval
• Experience with monitoring and alerting tools such as Grafana and Kibana
• Proven experience working in real-time / online environments
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production
• Fluent English with strong communication and collaboration skills

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges)
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB)
• Experience working with PMML

Working conditions:

• 5-day working week, 8-hour working day
• Remote work