Principal Geospatial Data Scientist
NextEra Energy, Inc.
full-time
Posted on:
Location Type: Office
Location: Juno Beach • Florida, Texas • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AWSCloudKubernetesPython
About the role
- The 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.
- 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 effectively 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 and advance 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.
- Perform additional job-related duties as necessary.
Requirements
- 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.
- 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 with machine learning, deep learning, and artificial intelligence applications.
- Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes.
- Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities.
- GISP and/or ASPRS CMS Certifications.
- DASCA or similar certification.
- Master’s Degree.
- Doctoral Degree.
Benefits
- NextEra Energy offers a wide range of benefits to support our employees and their eligible family members.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
geospatial data analysisstatistical modelsmachine learningdeep learningartificial intelligencedata preprocessingpredictive modelingdata visualizationcoordinate reference systemsdata integrity
Soft skills
collaborationproject coordinationcommunicationinnovationproblem-solvinganalytical thinkingstakeholder engagementadaptabilityleadershipstrategic thinking
Certifications
GISPASPRS CMSDASCAMaster’s DegreeDoctoral Degree