We are looking for an Expert Applied Scientist to join the Speeds VS team, leading end‑to‑end machine learning and data-driven initiatives that improve the quality, scalability, and automation of speed limit data and map consistency.
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What You'll Do
- 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.
What You'll Need
- 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.
What's Nice to Have
- Experience with geospatial or road network data.
- Experience with ML experimentation and monitoring tools (e.g. MLflow, Databricks).
- Experience in Java and related technologies
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