Under the direction of the Data & Analytics Manager, the Data Scientist/Engineer will develop predictive models, scenario planning analyses, data visualizations and their required data pipelines to provide decision support for key areas including public policy development, implementation, monitoring, operations, community engagement, and business process improvements that together inform the design and future growth of San Francisco’s built environment.
This role will play a key role in Data Analytics Group’s effort for modernizing data and analytics systems, workflows, products, and tools that support long-range land-use planning. This effort includes developing an integrated City Information Model that improves access to and quality of data on housing production and pipeline, land use, commercial and industrial activity, socio-demographic characteristic, and other information that support planning analytics.
The Data Scientist/Engineer will apply novel geospatial, statistical and machine learning methods to derive insights from a wide range of data sources including digitized records, permit systems, geospatial databases, the City’s Open Data Portal, surveys, and third-party data services. This role will develop a wide range of analytics tools for a variety of planning applications including differential policy diagnostics, recovery strategy assessments, and operational efficiency modelling. As a systems thinker and innovator, this position will work cross-functionally with data analysts, GIS analysts, data engineers, planners, urban designers, architects, and interagency stakeholders to create a tighter integration between policy and operational goals and evidence-based outcomes.
RESPONSIBILITIES
Under the direction of the Data and Analytics Manager, the Data Scientist/Engineer will support planning/policy development, implementation, and monitoring, and operations, and business process improvements in the Planning Department, and will be responsible for the following:
• Collaborate with other divisions/teams in the Department to identify and understand key questions and challenges in plan and policy development, implementation, and monitoring, as well as in the Departments’ operations, and business processes.
• Formulate analytical solutions and products that can answer and/or provide insight about key questions and challenges and communicate those analytical methods with respective divisions/teams.
• Implement and maintain analytical solutions and products:
• Build data pipelines, identify data gaps and collaborate across the Department and other agencies to create/improve data systems
• Build interactive maps, data visualization and dashboards that convey key insights to business audiences and help them improve the performance of policies, processes and workflows
• Develop performance measurement frameworks and monitoring key metrics during policy implementation
• Implement and use machine learning models and perform statistical analysis to derive data-driven actionable recommendations that can improve the performance of policies, processes, and workflows
• Clearly convey analysis and modeling results to relevant stakeholders through reports and presentations
• Identify new data sources and methods to enhance the Department’s core data products, analytical tools and reports
Location: San Francisco, CA
Posted: Sept. 2, 2024, 8:05 a.m.
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