Data Scientist (Moderation)
Mayflower
Science & ResearchLimassol, Lemesos, CyprusApply directly
About the role
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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