Senior Data Scientist (Geo Data)

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