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Senior Data Scientist (Geo Search)

Hybrid - Senior

Cyprus, Limassol

We’re looking for an experienced Data Scientist to join our Geo Search team. This team focuses on developing and optimising address search and geocoding services, ensuring that users can efficiently find accurate and relevant locations. Their scope includes query understanding, geocoding, hybrid search, and enhancing prediction accuracy for pickup and drop-off locations using advanced ML models.

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Responsibilities

  • ML system design from scratch with data analysis, annotation, and processing in several areas of research or in multimodal scenarios
  • Lead the process of data preparation and calculations with master systems at all stages
  • Translate business-level metrics to an engineering/science problem
  • Take ownership of the end-to-end DS product lifecycle, including ML model pipelines, implementation, A/B testing, and rollout
  • Develop innovative services designed to enhance the efficiency and precision of map issue resolution, and expand comprehensive coverage

  • Work with the Geo domain on different topics, e.g.

    • Search and relevance optimization for geocoding and place search, including personalization, user context and multilingual support
    • ETA and route accuracy optimization
    • Working with Engineering on Geo data curation, including data ingestion and pipelines, anomaly detection, deduplication and improving data reliability
    • Location prediction and management
    • Geospatial analysis and insights

Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Machine Learning, or Operations Research
  • 5+ years of industry experience as an ML Engineer, Applied Scientist, Data Scientist, or equivalent
  • Proficient in MLOps tools for managing the ML model lifecycle
  • Familiar with technologies from the Company Tech Radar (e.g., Golang) to integrate with existing backend systems and infrastructure
  • Experienced with event systems, deployment environments, etc., to maintain DS-powered services in production
  • Proficient in Python and Python frameworks for streaming, batch, and asynchronous data processing
  • Proficient (or at least familiar) with the Geo and Maps ML domain
  • Subject-matter expert in more than one ML domain besides Geo (e.g., CV, NLP, etc.)

Conditions & Benefits

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexible schedule
  • Relocation package offered for candidates from other regions (only for Kazakhstan and Cyprus)
  • 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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