Senior Data Scientist enhancing HERE Technologies' traffic intelligence platform. Building and deploying machine learning models for routing accuracy and traffic prediction.
Responsibilities
Design, train, and deploy ML models for traffic prediction, routing, and congestion detection
Analyze large-scale geospatial datasets from GPS, connected vehicles, and public traffic sources
Develop map-matching, road segmentation, and anomaly detection algorithms
Build scalable data pipelines for spatial and temporal data ingestion and cleaning
Optimize model performance and accuracy through experimentation and feature engineering
Partner with product and engineering teams to integrate models into mapping and analytics systems
Communicate findings and recommendations to technical and business stakeholders
Requirements
Master’s in Data Science, Computer Science, Transportation Engineering, or related field
Experience in applied machine learning or data science
Strong proficiency in Python and SQL
Hands-on experience with ML frameworks (scikit-learn, PyTorch, TensorFlow)
Experience working with geospatial libraries (GeoPandas, Shapely, GDAL) and spatial databases (PostGIS, BigQuery GIS)
Solid understanding of spatial statistics, time-series modeling, and routing algorithms
Familiarity with distributed data tools (Spark, Databricks) and cloud platforms (AWS, GCP, or Azure)
Experience with traffic simulations (SUMO, MATSim) or transportation optimization (preferred)
Background in navigation, mobility platforms, or smart city analytics (preferred)
Familiarity with visualization and mapping tools (Kepler.gl, Deck.gl, Mapbox, Power BI) (preferred)
Experience operationalizing ML models in production environments (preferred)
Benefits
The opportunity to tackle meaningful and challenging problems
A chance to continuously learn and stay on top of the latest technology trends
Work that has real-world impact, shaping the future of mobility and technology
Regular feedback to help you grow and succeed in your role
A collaborative and supportive team environment where your contributions are valued
A great work-life balance
Hybrid or remote model of work
Flexible working hours
Competitive salary plus bonus
This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu)
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