Principal Geospatial Data Scientist

NextEra Energy Services

United States

United States

Postuler Maintenant

À propos

divh2Principal Geospatial Data Scientist/h2pNextEra Energy Resources is one of Americas largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!/ppThe Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting-edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross-functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision-making./ppWe place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques./ppKey Responsibilities/ppThe Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision-making and business innovation./pp Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible./pp Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses./pp Design and implement dynamic visualizationsapps, dashboards, maps, and chartsto effectively communicate geospatial insights to non-technical audiences./pp Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions./pp Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy./pp Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance./pp Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements./pp Innovate by exploring new data sources and methodologies within geospatial analysis./pp Perform additional job-related duties as necessary./ppPreferred Qualifications:/pp Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large-scale geospatial data analytics./pp Proven experience in national or global scale data analysis and modeling./pp Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies./pp Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes./pp Extensive experience with machine learning, deep learning, and artificial intelligence applications./pp Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes./pp Background in the Energy sector, particularly in Oil Gas, Renewables, or Utilities./ppDesired Qualifications:/pp GISP and/or ASPRS CMS Certifications/pp DASCA or similar certification/pp Masters Degree/pp Doctoral Degree/pp Experience: 10+ years/p/div

United States

Compétences linguistiques

English

Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

Postuler Maintenant