Senior Data Scientist — AI Research&Growth

6 days ago

Limassol, Limassol, Cyprus inDrive Full time €60,000 - €120,000 per year

We're looking for a talented
Data Scientist
to join our
AI Research & Growth
Team

Responsibilities:

  • Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance
  • Translate complex business goals into well-defined data science problems and quantifiable metrics
  • Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines
  • Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure
  • Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance
  • Support the development and growth of other team members through mentorship and participation in onboarding programs
  • Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact
  • Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical stakeholders

Qualifications:

  • Previous experience in a data science or machine learning role
  • An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus
  • Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch)
  • Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields
  • Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment
  • Proven experience with event systems, deployment environments, and maintaining production services
  • Familiarity with technologies for streaming, batch, and async data processing. Proficiency in at least one specialized ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks)
  • Strong understanding of software system design principles and the ability to contribute to architectural discussions
  • Experience in experimental design to validate hypotheses and measure the effectiveness of solutions
  • A solid grasp of security, risk, and control concepts in a production environment

Conditions & Benefits:

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexible schedule
  • Relocation package offered for candidates from other regions
  • Access to professional counseling services including psychological, financial, and legal support
  • Discount club membership
  • Diverse internal training programs
  • Partially or fully paid additional training courses
  • All necessary work equipment

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