Principal Geospatial Data Scientist

1w1 week ago

NextEra Energy

US · Full-time · $180,000 – $260,000

About this role

NextEra Energy Resources is one of America’s largest wholesale electricity generators, harnessing diverse energy sources. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team drives innovation by integrating machine learning, deep learning, and AI into geospatial analytics. This role leads cross-functional teams to deliver advanced solutions enhancing efficiency.

Lead complex geospatial data projects deploying advanced analytical techniques and modeling to transform raw spatial data into strategic insights. Acquire and preprocess geospatial data from satellite imagery, GIS, vendors, and agencies while automating workflows. Develop sophisticated statistical models and machine learning algorithms for large-scale spatial analyses.

Collaborate with cross-functional stakeholders to identify data requirements and build tailored solutions. Design dynamic visualizations including apps, dashboards, maps, and charts for non-technical audiences. Operate within a Fortune 200 company leading in sustainable energy infrastructure development.

Synthesize data sources into unified geospatial datasets ensuring integrity through audits. Innovate by exploring new data sources and methodologies while staying abreast of GIS advancements. Join to elevate your career making a meaningful impact on America's energy needs.

Requirements

Expert knowledge of coordinate reference systems, including their reprojections and conversions, with understanding of accuracy and performance impact on large-scale geospatial data analytics
Proven experience in national or global scale data analysis and modeling
Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies
Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes
Extensive experience in geospatial data management and analytics
Proven track record of innovation in developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques

Responsibilities

Acquire and preprocess geospatial data from diverse sources including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible
Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses
Design and implement dynamic visualizations—apps, dashboards, maps, and charts—to communicate geospatial insights to non-technical audiences
Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions
Construct predictive models to forecast spatial trends and patterns; continuously refine model efficacy
Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance
Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements
Innovate by exploring new data sources and methodologies within geospatial analysis