Expert Applied Scientist

• Design and deploy ML and data-driven solutions to detect, validate, and reduce map quality issues (e.g. data drift, feature distribution shifts across countries, road classes, and sources).
• Define and drive data analysis and model evaluation standards, including advanced and segmented performance metrics.
• Lead the productionization of models and data pipelines, working closely with engineers and data engineers, including pipeline optimization.
• Build and improve end-to-end automated workflows (from issue detection to resolution and closure), minimizing manual processes.
• Perform code reviews and optimization, ensuring high-quality, production-ready solutions.
• Mentor and guide less experienced scientists; contribute to planning and coordination of data science initiatives.

Do you have experience in Spark?, * 4+ years of experience in data science / applied science roles (Senior level).

• Strong expertise in machine learning (supervised, unsupervised, and dimensionality reduction techniques) and model selection.
• Excellent Python skills and experience with large-scale data processing (e.g. Spark, big data environments).
• Proven experience in building and deploying data pipelines and ML solutions in production.
• Strong communication skills and ability to explain complex concepts to both technical and non-technical stakeholders., * Experience with ML experimentation and monitoring tools (e.g. MLflow, Databricks).
• Experience in Java and related technologies