About the Position

Mayflower is a technology company building high-load 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.

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.

Requirements

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.

We Offer

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 (Cyprus): 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)

Location

Limassol, Cyprus
Temporary Remote (future relocation to Limassol)

Data Scientist (Moderation)

Job description