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.