Description
The role builds and improves pipelines for place and location-related data, handling noisy real-world signals and large geospatial datasets. Responsibilities include improving data quality and observability, defining metrics and feedback loops, prototyping in Python, SQL, notebooks, or similar tools, integrating production experiments with backend systems, and running offline evaluations and A/B tests. The position requires strong Python and SQL, production experience with Python or Scala, and experience with PySpark, Spark SQL, Spark Streaming, Parquet, Iceberg, large datasets, pipelines, geospatial data, and data-quality measurement. The role is onsite five days per week in central Paris and includes health-care coverage and other leave benefits.
