Expert Applied Scientist

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.

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.