Data Scientist
Location Analytics
Posted on 1/9/2023
Remote in USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Apache Beam
  • ”Where does the energy sector need to invest in electrification, decarbonization, and asset hardening in the face of climate threats?”…
  • ”Where should cities and businesses invest to catch up with e-commerce, last-mile delivery, and new mobility?”…
  • ”Where do governments deploy relief and new infrastructure to combat record hunger, homelessness, and hazard vulnerability?”…
  • Work experience equivalent to a Master's degree or higher in Statistics, Data Science or Machine Learning
  • Experience with a variety of statistical or machine learning regression and classification models, missing data imputation, and/or clustering algorithms
  • High proficiency in Python and Python's scientific programming stack such as pandas, sklearn, statsmodels, one neural network library, and one data visualization library
  • Experience developing models in an iterative, fast-paced environment
  • Excellent communication, collaboration, and documentation skills
  • Collaborate with product managers and data scientists to understand the problems our customers face and how we can best solve them
  • Build prototype solutions addressing a wide range of real-world problems and work with data engineers to transform those prototypes into real products
  • Partner with urban planning domain experts, customer success and product managers to ensure that model accuracy meets customer needs and expectations
  • Communicate project progress, challenges and outcomes to internal stakeholders
Desired Qualifications
  • Experience with geospatial modeling such as spatial clustering and spatial clustering with non-spatial attributes, spatial interpolation, and small area estimation and/or spatial downscaling techniques
  • Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation
  • Familiarity with large-scale, cloud-based data analysis frameworks including BigQuery, Xarray, Pangeo, SQL, Apache Beam, Dask or PySpark
  • You are socially driven to leverage data to facilitate a more equitable and resilient society

11-50 employees

World’s first urban intelligence platform
Company Overview
UrbanFootprint is an urban intelligence platform for assessing risk, understanding markets, and making better policy and planning decisions.