Senior Geospatial Data Scientist, VP

Citi

Senior Geospatial Data Scientist optimizing Citibank’s branch and ATM networks through data analysis and AI-driven solutions. Focusing on strategic decision-making at an executive level.

Posted 7/28/2026full-timeCharlotte • Florida, Montana, North Carolina • 🇺🇸 United StatesSenior💰 $117,440 - $176,160 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in strategic data analysis, project management, and process improvement, with a strong focus on delivering AI-driven solutions that align with business objectives and regulatory standards. Proficient in statistical modeling and geospatial data analysis to drive optimization and enhance data quality.

Highest-signal resume keywords

Data AnalysisProject ManagementStatistical ModelingGeospatial Data AnalysisCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisProcess ImprovementProject ManagementStatistical ModelingGIS (ESRI, MapInfo)Data Quality OptimizationBusiness Systems IntegrationRequirements GatheringRisk ManagementComplex Problem Solving

Soft Skills

Interpersonal SkillsVerbal CommunicationWritten CommunicationAttention to DetailDiplomacy Skills

Tools & Technologies

GIS SoftwareStatistical Analysis ToolsData Visualization ToolsBanking PlatformsAI-Driven Solutions

Industry Keywords

BankingData ScienceStatisticsEconomicsOperations ResearchQuantitative AnalysisBusiness ObjectivesRegulatory RequirementsBusiness ProcessesSystem Functional Specifications

About the role

Key responsibilities & impact

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.
Partner with business and technology stakeholders to design, implement, and govern AI-driven solutions, ensuring alignment with business objectives, risk management standards, and regulatory requirements.
Consults with business clients to determine system functional specifications.
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
Leads system change process from requirements through implementation; provides user and operational support of application to business users.
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
Performs other duties and functions as assigned.

Requirements

What you’ll need

5+ years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques.
Demonstrated interpersonal, verbal and written communication skills.
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Experience with desktop GIS (ESRI, MapInfo) and the application of geospatial data including demographics a plus
Undergraduate degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Operations Research, Geography/GIS, Analytics, or a related quantitative field; or equivalent experience.
Graduate degree preferred.

Benefits

Comp & perks

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off (vacation)
unplanned time off (sick leave)
paid holidays