data scientist for real-time entertainment

Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, it creates solutions that power real-time entertainment for a global audience.

• Develop and train machine learning models for prediction and classification;
• Build and evaluate regression, classification, clustering, and time-series models;
• Design feature engineering pipelines and data preprocessing workflows;
• Evaluate model performance, robustness, and production readiness;
• Deploy and maintain ML models in collaboration with ML-ops teams;
• Explore large datasets to identify patterns, trends, and hidden relationships;
• Perform statistical analysis and hypothesis testing;
• Distillate open-source datasets by proprietary data via LLM agents;
• Detect anomalies, outliers, and unexpected metric movements;
• Translate business or product questions into analytical tasks;
• Work with data pipelines and streaming data systems;
• Process and transform large datasets using Python and SQL;
• Work with event streams and messaging systems such as Kafka;
• Contribute to data quality monitoring and dataset validation;
• Work with analytical databases and data warehouses;
• Design experiments and evaluate model performance in real environments;
• Implement monitoring for model performance and data drift;
• Support A/B testing and experimentation frameworks;
• Improve models based on production feedback and metrics;
• Work closely with ML engineers, data engineers, and product teams;
• Communicate model results and analytical insights clearly;
• Contribute to the development of ML best practices within the team.

• Strong Python programming skills for data science and machine learning;
• Experience working in Jupyter / Python notebooks for experimentation and analysis;
• Strong experience with pandas and numerical data processing;
• Experience with SQL databases and complex analytical queries;
• Experience working with ClickHouse or other analytical columnar databases;
• Experience working with Kafka or other streaming data platforms;
• Experience building and evaluating machine learning models using scikit-learn, XGBoost, LightGBM, or similar libraries;
• Understanding of statistics, probability, and experimental design;
• Experience working with large datasets and data preprocessing pipelines;
• Nice to have: experience with deep learning frameworks such as PyTorch or TensorFlow, experience deploying ML models to production environments, experience working with Computer Vision models, experience with distributed data processing or large-scale ML systems, familiarity with ML monitoring, experiment tracking, and model versioning tools.

• EU-based employment contract;
• A 3-year Cyprus work visa with full support for relocation and visa processes, including assistance for the candidate's family;
• Full relocation package, including flights to Limassol for the candidate and family, a company-covered apartment for the first month, and relocation support;
• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments;
• Private medical insurance for the candidate and family;
• Corporate mobile plan with unlimited service in Cyprus and roaming included;
• Interest-free support for car purchases;
• Provident fund in Cyprus, co-funded by the candidate and the Company and available after probation;
• Mindfulness and well-being support, including psychological assistance with 50% coverage;
• 50% Coverage of school and kindergarten fees for children;
• Fully covered sports benefits, in-house electric scooters and bike rentals, and cycling purchase compensation;
• Paid language courses and access to development programs, conferences, training programs, and coaching;
• Peer reward program;
• A fully equipped office in Limassol’s city center;
• Free catering in the office, an in-house coffee bar, and a health bar with nutritious snacks;
• International teams, corporate events, team buildings, and hackathons;
• Temporary remote work with future relocation to Limassol;
• The recruitment process includes an HR interview, a technical interview, and a final interview.