# Data Scientist (Moderation) at Mayflower

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> Responsibilities: - Build, train and evaluate ML models for

- **Company:** Mayflower (https://jobs.trythestack.co/companies/mayflower)
- **Location:** Cyprus
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Machine learning, Data analysis, Pandas, ClickHouse, Kafka, Scikit-learn, XGBoost, LightGBM, Statistics, Probability, Experimental design, Data preprocessing, LLM agents, A/B testing
- **Posted by employer:** 2026-09-02
- **Added to The Stack:** 2026-09-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://mayflower.recruitee.com/o/data-scientist-moderation (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-moderation-mayflower

## About the role

Responsibilities:
- Build, train and evaluate ML models for classification, regression, clustering and time-series tasks relevant to content moderation.
- Design feature engineering pipelines and data preprocessing workflows for large, high-throughput datasets.
- Deploy and maintain production models with ML-ops partners; implement monitoring for model performance and data drift.
- Run statistical analyses, hypothesis tests and A/B experiments to validate product and model changes.
- Work with streaming and analytical systems (Kafka, ClickHouse); process and transform data with Python and SQL.
- Investigate anomalies, translate product questions into analytical tasks and communicate findings to product and engineering teams.

Requirements:
- 5+ years experience in applied data science or ML, with strong Python and SQL skills and experience in notebook-driven workflows.
- Hands-on experience with pandas and large-scale data processing; familiarity with ClickHouse or similar columnar databases.
- Experience with streaming platforms (Kafka) and working with event-driven data.
- Proficiency with ML libraries (scikit-learn, XGBoost, LightGBM) and evaluation/experiment design methods.
- Strong understanding of statistics, probability and experiment design; ability to monitor, backtest and iterate models in production.
- Clear communicator able to work cross-functionally and contribute to ML best practices.

Nice to have:
- Experience with deep learning (PyTorch/TensorFlow), computer vision, model deployment at scale or distributed processing.

## Responsibilities

Develop, train, and deploy machine learning models for prediction, classification, and anomaly detection. Collaborate with cross-functional teams to build data pipelines, perform statistical analysis, and support experimentation frameworks.

## Requirements

Requires 5+ years of experience with strong Python, SQL, and machine learning library proficiency. Candidates must have experience with large datasets, analytical databases, and streaming platforms like Kafka.

## FAQ

- **Is this Data Scientist (Moderation) role still open?** It was posted on 2026-09-02. Listings more than 30 days old may no longer be active, so check Mayflower's site before applying.
- **Does Mayflower offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mayflower's site.
- **Where is this role located?** The listing gives the location as Cyprus. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, Machine learning, Data analysis, Pandas, ClickHouse, Kafka, Scikit-learn, XGBoost, LightGBM, Statistics, Probability, Experimental design, Data preprocessing, LLM agents, A/B testing.

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## Notes for agents

- Apply on the employer's page (https://mayflower.recruitee.com/o/data-scientist-moderation). The Stack does not take applications.
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