Data Scientist, Environmental Health and Extreme Heat at World Resources Institute (WRI)

Job Description The World Resources Institute is a global research non-profit organization that was established in with funding from the MacArthur Foundation under the leadership of James Gustave Speth. WRI is a global research organization that turns big ideas into action at the nexus of environment, economic opportunity and human well-being.WRI’s mission is to move human society to live in ways that protect Earth’s environment and its capacity to provide for the needs and aspirations of current and future generations. Job Highlight:You will use data science methods to measure and model data related to environmental health and heat in urban areas. This will include contributing to the development of models for estimating high-resolution intra-urban temperature and heat indices and analyzing how heat influences human health and the resilience, social equity and economic performance of cities. You will sit in the Urban Data & Tools team in WRI Ross Center for Sustainable Cities and be affiliated with the WRI Data Lab. You will report to Senior Manager, Data & Tools, WRI Ross Center for Sustainable Cities.What will you do:Research and computational data analysis (60% time): Apply knowledge of existing literature on urban climate modeling and environmental health to lead new tracks of work with the intent to contribute to the literatureWrite performant code and use cloud computing to deliver novel and reproducible data insights and applicationsApply knowledge of Python and/or R to deliver reproducible analysis and data science applicationsApply knowledge of Weather Research and Forecasting (WRF) urban climate modeling, including key model features and datasetsApply knowledge of packages for spatial analysis including GDAL and rasterioApply basic knowledge of frontend frameworks for data visualization. Contribute to research design and systems architecture decisions for data science analysis and applicationsBring a strong foundation of knowledge in general statistics and at least one area of specialization, e.g., spatial statistics, machine learning, epidemiology, or econometricsMake novel statistical contributions to solving real world problems, selecting the right analysis approaches and algorithmsBe a statistical reviewer for both internal and external researchApply understanding of research ethics to make ethical decisions in the real worldMentor data analysts on computational tasks, providing code review and coaching them to learn new skills Data management (20% time): Organize and manage multiple data projects at one time using best practices for documentationApply knowledge of data across internal and external products to access a variety of structured dataUnderstand and fuse data from different sources (e.g., in-situ sensors for temperature and humidity, field surveys, and optical and radar remote sensors)Apply knowledge of common database types to build automated data pipelines to pull and clean data without oversightApply knowledge for management of specialized datasets such as remote sensing data, including satellite imagery and radar, and field data collected via environmental sensors and ground surveys Data communication (10% time): Contribute significantly to the design of new data applications and productsEffectively communicate data to internal and external audiences using data visualization, clear writing, and compelling presentation skillsLead the drafting of blogs, technical notes, and papersApply knowledge of cartographic principles and map design tools and practices Project management (10% time): Manage small teams of analysts, coordinators, and specialists to deliver projects with oversight from manager or Data Science LeadCommunicate work to non-technical, senior audiences internally and externally to ensure clarity and alignmentUnderstand and articulate where work fits within team and organization strategyWhen called upon by manager or team lead, make meaningful contributions to fundraising and external partnership efforts such as through a draft technical capacity statement, research work plan, or a research budget What will you need: Education: You have a completed BA or BS degree in a relevant field, such as but not limited to geography, data science, urban studies, remote sensing or computerExperience: You have 5+ years of full-time work experience related to public health, data science, urban studies, remote sensing, computer science, data product development, or other relevant topicPast experience in the following is preferred: Developing high-resolution urban temperature and heat hazard models. Designing and launching new data analysis projects from concept to launch. Developing data processing pipelines for large and complex datasets. Deploying advanced statistics and methods to solve real-world problemsWorking with data from a wide range of sources including in-situ sensors for temperature and humidity; field surveys; and optical and radar remote sensorsWrite efficient and reproducible code using Python and/or R and git. Using cloud technologies including Google Cloud Platform and Amazon Web ServicesWork in diverse environments and collaborating effectively with teams of diverse skill sets. Leading small teams to deliver data analysis and applicationsDeveloping or directing development of data visualizations and map productsLanguages: You have verbal and written proficiency in English required and additional fluency on a language spoken in WRI Offices preferred (e.g., Spanish, French, Portuguese, Chinese)Requirements: Existing work authorization is required where this position is based. WRI is unable to authorize visa work authorization