AI Summary
Join Mayflower's ML team to develop and train machine learning models, explore large datasets, and deploy models in collaboration with ml-ops teams. Key responsibilities include machine learning & modeling, data analysis & exploration, and data pipelines & infrastructure. Strong Python programming skills and experience with machine learning libraries are required.
Key Highlights
Develop and train machine learning models
Explore large datasets
Deploy models in collaboration with ml-ops teams
Key Responsibilities
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
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
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
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
Technical Skills Required
Benefits & Perks
EU-based employment contract
3-year Cyprus work visa
Full relocation package
Transparent performance reviews
Private medical insurance
Corporate mobile plan
Interest-free support for car purchases
Mindfulness & well-being support
50% coverage of school and kindergarten fees
Fully covered sports benefits
Access to in-house electric scooters and bike rentals
Cycling purchase compensation
Paid language courses
Access to suited-for-you development programs
Peer reward program
Nice to Have
Experience with deep learning frameworks (PyTorch or TensorFlow)
Experience deploying ML models to production environments
Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks)
Experience with distributed data processing or large-scale ML systems
Familiarity with ML monitoring, experiment tracking, and model versioning tools
Job Description
Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole.
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
- Strong Python programming skills for data science and machine learning.
- Experience working in Jupyter / Python notebooks for experimentation and analysis.
- Strong experience with pandas and numerical data processing.
- Experience with SQL databases and complex analytical queries.
- Experience working with ClickHouse or other analytical columnar databases.
- Experience working with Kafka or other streaming data platforms.
- Experience building and evaluating machine learning models using libraries such as scikit‑learn, XGBoost, LightGBM, or similar.
- Understanding of statistics, probability, and experimental design.
- Experience working with large datasets and data preprocessing pipelines.
Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- Experience with deep learning frameworks (PyTorch or TensorFlow).
- Experience deploying ML models to production environments.
- Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks).
- Experience with distributed data processing or large-scale ML systems.
- Familiarity with ML monitoring, experiment tracking, and model versioning tools.
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
We know that great talent deserves great conditions, so here's what you can expect when joining us:
- EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
- Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
- Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
- Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
- Mindfulness & well-being support, including psychological assistance with 50% coverage.
- 50% coverage of school and kindergarten fees for your children.
- Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
- Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
- A culture of recognition: a peer reward program to celebrate your contributions.
- A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
- Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
- A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
- HR interview (40 min);
- Technical interview (1.5 hour);
- Final interview (45 min).
- Point of contact: Stepan Shirobokov
- vacancy_type: Machine Learning
- Experience shown on site: 4+ years of experience
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