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Senior Data Scientist

Company: Urban Footprint
Location: Berkeley
Posted on: September 15, 2020

Job Description:

UrbanFootprint is a mapping and analytics platform designed to streamline urban planning, mobility, and emergency response through actionable data and targeted insight for all U.S. locations. We are hiring passionate and experienced data scientists to support data and model development, spatiotemporal modeling, machine learning and customer-driven analysis to support our private and government customers in a variety of sectors, including urban planning, real estate, energy, healthcare, disaster response, and more. We’re looking to add creative and talented data scientists to our team.

Our recent projects include cutting-edge COVID-19 risk analysis using dynamic smart thermometer and movement data, housing market and eviction analysis , and the development of dynamic indices to support agencies and relief providers in Louisiana. We are also supporting multiple state and local agencies in land use, transit, and climate planning.

This is important and intellectually demanding work. If you are highly driven, creative, pragmatic and have practical experience with spatiotemporal data and statistical and machine learning models, we’d like to talk to you about joining our team!

Your responsibilities will include: Developing spatial or spatiotemporal data products including risk indices from our unique combination of public and private socio-demographic, health, movement, and built environment data

Implementing production pipelines for cleaning, processing, and ingesting geospatial data for use in custom analysis in the UrbanFootprint platform

Owning data science problems end-to-end, from ideation, exploratory data analysis and prototype, through to production implementation

Developing methodologies for improving data quality of publicly available data, integration of multiple data sources, and downscaling data to higher resolutions

Your background most likely includes: A Master’s degree or higher in Statistics or Data Science (with emphasis on geospatial analysis and data), Economics, Public Health or Epidemiology (with an emphasis on spatiotemporal modeling), or other similar technical fields

Fluency in Python and Python’s scientific programming stack including pandas, GeoPandas, sklearn, and various visualization packages including map-based visualizations

Experience developing data products and/or models in an iterative, fast-paced environment

Excellent communication, collaboration, and documentation skills

Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation

Experience working with publicly available socio-demographic data, including US Census data and/or publicly available location data such as OpenStreetMap

Familiarity with a variety of large-scale data analysis tools including SQL and PySpark

Passion for urban planning, climate resilience, equity, and leveraging data to facilitate a more equitable and resilient society

Keywords: Urban Footprint, Berkeley , Senior Data Scientist, Other , Berkeley, California

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