Staff Data Scientist - Geospatial
Tasks
- Build models from location and movement signals
- Build pipeline observability
- Coach and mentor data scientists
- Create reusable data products
- Define core business metrics
- Define geospatial data quality metrics
- Detect data quality degradation
- Evolve location datasets
- Identify data gaps
- Integrate data solutions into delivery operation
- Monitor incidents and act on failures
- Own geospatial data technical roadmap
- Prioritize geospatial data improvements
- Productionize data products with engineering
- Quantify operational impact of data gaps
- Standardize technical approach and problem decomposition
Perks/Benefits
- Cycle to work
- Enhanced parental leave
- Gym subsidy
- Hardware allowance
- Office lunch
- Paid Holidays
- Private dental coverage
- Private health coverage
- Remote work option
- Uber rides coverage
Skills/Tech-stack
Data Modeling | Data Pipelines | Data Quality | Data product | Data product development | GPS Trace Processing | Geospatial Data | Incident Response | Location Data | Machine Learning | Metrics | Movement Data | Observability | Product Development | Telemetry | Testing | Trace processing
Education
N/A
Roles
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