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Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (Moderation) (Machine Learning/Data Science): Developing and deploying machine learning models, analytical pipelines, and monitoring systems for high-volume moderation products with an accent on prediction, classification, large-scale data processing, and model evaluation. Focus on designing feature engineering workflows, analyzing streaming data with Python, SQL, and Kafka, and improving production models through experimentation and performance monitoring.
Location: Office-based in Limassol, Cyprus; relocation and a 3-year Cyprus work visa are supported.
Company
Mayflower is a technology company building high-load products used by millions of people worldwide and powering real-time entertainment for a global audience.
What you will do
Develop, train, evaluate, deploy, and maintain machine learning models for prediction, classification, regression, clustering, and time-series tasks.
Design feature engineering, data preprocessing, dataset validation, and data quality workflows.
Explore large datasets, perform statistical analysis and hypothesis testing, detect anomalies, and translate product questions into analytical tasks.
Process large datasets and streaming data with Python, SQL, Kafka, analytical databases, and data warehouses.
Design experiments, support A/B testing, monitor model performance and data drift, and improve models using production feedback.
Collaborate with ML engineers, data engineers, and product teams while communicating analytical insights and contributing to ML best practices.
Requirements
Strong Python programming skills for data science and machine learning.
Experience using Jupyter or Python notebooks for experimentation and analysis.
Strong experience with pandas and numerical data processing.
Experience with SQL databases and complex analytical queries.
Experience with ClickHouse or other analytical columnar databases.
Experience with Kafka or other streaming data platforms.
Experience building and evaluating machine learning models with scikit-learn, XGBoost, LightGBM, or similar libraries.
Understanding of statistics, probability, and experimental design.
Experience working with large datasets and data preprocessing pipelines.
Nice to have
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Experience deploying ML models to production environments.
Experience with computer vision models, including OpenCV, CNNs, or object detection frameworks.
Experience with distributed data processing or large-scale ML systems.
Familiarity with ML monitoring, experiment tracking, and model versioning tools.
Culture & Benefits
EU-based employment contract and a 3-year Cyprus work visa, with full relocation and visa-process support for the employee and family.
Relocation package including flights to Limassol, a company-covered apartment for the first month, and relocation assistance.
Performance reviews twice a year with bonus opportunities and salary adjustments.
Private medical insurance, a corporate mobile plan, interest-free car-purchase support, and a Cyprus provident fund after probation.
Psychological assistance with 50% coverage, child education fee coverage, sports benefits, and cycling and scooter benefits.
Paid language courses, development programs, conferences, training, coaching, peer rewards, office catering, and an engineering culture with team events and hackathons.
Hiring process
HR interview lasting 40 minutes.
Technical interview lasting 1.5 hours.
Final interview lasting 60 minutes.
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