We are looking for a Senior Data Scientist:
Working Time Zone: CET
Start: asap
Planned Work Duration: 12 months
Customer Description:
A platform providing ride-hailing delivery and mobility-related services
Project Description:
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.
Technology Stack: Python Go (plus) SQL Kafka / Spark / Flink PostGIS / ElasticSearch
Project Phase: ongoing
Hard Skills / Must Have:
Bachelors 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
Proficiency in MLOps tools for managing the ML model lifecycle
Familiarity with technologies from internal technical guidelines (e.g. Golang)
Experience with event systems and deployment environments for maintaining DS-powered services in production
Proficiency in Python and Python frameworks for streaming batch and asynchronous data processing
Familiarity with the Geo and Maps ML domain
Expertise in multiple ML domains such as CV or NLP
Deep expertise in classic ML and deep learning techniques with advanced mathematical understanding
Experience with ML system design and MLOps practices for production environments
Strong understanding of software system design principles
Experience in experimental design to validate hypotheses
Knowledge of security risk and control concepts in production systems
Responsibilities and Tasks:
Design ML systems from scratch with data analysis annotation and processing in multiple research areas or multimodal scenarios
Lead data preparation and calculations across all system stages
Translate business metrics into engineering or science problems
Take ownership of the end-to-end DS product lifecycle including pipelines implementation A/B testing and rollout
Develop innovative services to enhance map accuracy and coverage
Work on Geo domain topics including search and relevance optimization personalization and multilingual support
Optimize ETA and route accuracy
Collaborate on Geo data curation including ingestion pipelines anomaly detection and data reliability
Conduct location prediction and management tasks
Perform geospatial analysis and extract insights
English: upper-intermediate
Location: Europe remote
Ready to Join
We look forward to receiving your application and welcoming you to our team!
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