Data Scientist

Mayflower • Cyprus
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description

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).

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