Data Scientist
ML
3+ years of experience
Limassol
Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!
We are seeking an experienced Data Scientist to join our dynamic team ML team.
Our technology stack:
- Languages: Python;
- Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry;
- DBs: MariaDB, Clickhouse, Redis;
- Streaming: Apache Kafka;
- Workflow management: Apache Airflow, Argo Workflow;
- Infrastructure: k8s, gitlab.
Responsibilities
- Design, implement, and deploy machine learning models to solve business challenges;
- Analyze large datasets to extract actionable insights and improve decision-making;
- Collaborate with cross-functional teams to integrate ML solutions into production;
- Build and maintain scalable data pipelines and APIs for model deployment;
- Monitor, optimize, and troubleshoot ML models in a production environment;
- Continuously evaluate and refine models to improve performance.
Requirements
- Experience as a Data Scientist for 3+ years;
- Proficiency in Python and common ML libraries (pandas, catboost, PyTorch, transformers, etc.);
- Strong SQL knowledge;
- Good knowledge of Statistics and Probability theory.
Qualification that can be a plus:
- Experience in User behaviour algorithms;
- Experience in Deep Learning;
- Knowledge of containerization and orchestration (Docker, k8s)
Conditions
- The equipped office in the center of the city;
- A steep springboard for personal and professional growth;
- Employment contract under EU law, fully white salary, work visa for 3 years, company support in obtaining work visas for family members;
- Full relocation package (tickets to Limassol for you and your family, apartments for the first month at our expense);
- Developing your professional competencies through courses and/or conferences;
- Language courses, mindfulness webinars, corporate discounts on Coursera and other platforms, corporate incentive programs;
- Free catering in the office, and a free cafeteria with a health bar;
- Medical insurance for the whole family, mobile package, support with the purchase of a car, and covering of school/kindergartens expenses;
- New MacBook / iMac and other equipment at your request;
- The possibility of self-realization, and the possibility to influence technical decisions making;
- Big friendly community, IT international teams, corporate events, team buildings, and hackathons.
Recruitment process
- HR Interview (40 min)
- Tech interview (1.5 hour):
- Final interview (1 hour).