Data Scientist (Moderation)

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, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.

Now we look for a Data Scientist to join our ML team

Job Responsibilities

• Machine Learning & Modeling
• Develop and train machine learning models for prediction, 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.
• Data Analysis & Exploration
• 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.
• Data Pipelines & Infrastructure
• Work with data pipelines and streaming data systems.
• Process and transform large datasets using Python and SQL.
• Work with event streams and messaging systems (Kafka).
• Contribute to data quality monitoring and dataset validation.
• Work with analytical databases and data warehouses.
• Model Monitoring & Experimentation
• 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.
• Cross‑Functional Collaboration
• 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.

You’ll thrive here if you have

• 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 libraries such as scikit‑learn, XGBoost, LightGBM, or similar.
• Understanding of statistics, probability, and experimental design.
• Experience working with large datasets and data preprocessing pipelines.

Nice to Have

• Experience with deep learning frameworks (PyTorch or TensorFlow).
• Experience deploying ML models to production environments.
• Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks).
• Experience with distributed data processing or large-scale ML systems.
• Familiarity with ML monitoring, experiment tracking, and model versioning tools.

Conditions

• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
• Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
• Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
• Mindfulness & well-being support, including psychological assistance with 50% coverage.
• 50% coverage of school and kindergarten fees for your children.
• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
• Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
• A culture of recognition: a peer reward program to celebrate your contributions.
• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
• Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
• A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.

Recruitment process

• HR interview (40 min);
• Technical interview (1.5 hour);
• Final interview (60 min).