deployed_

Data Scientist (Moderation)

Mayflower - Limassol, Lemesos, Cyprus

Still listed by Mayflower · checked yesterday · posted 2 Sep 2026 (4 weeks ago)

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.

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