Senior Geospatial Data Scientist, VP

• 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

• 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.

Core Competencies

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 Analysis


• Project Management


• Statistical Modeling


• Geospatial Data Analysis


• Communication Skills

ATS Optimization Keywords

Hard Skills

• Data Analysis


• Process Improvement


• Project Management


• Statistical Modeling


• GIS (ESRI, MapInfo)


• Data Quality Optimization


• Business Systems Integration


• Requirements Gathering


• Risk Management


• Complex Problem Solving

Soft Skills

• Interpersonal Skills


• Verbal Communication


• Written Communication


• Attention to Detail


• Diplomacy Skills

Industry Keywords

• Banking


• Data Science


• Statistics


• Economics


• Operations Research


• Quantitative Analysis


• Business Objectives


• Regulatory Requirements


• Business Processes


• System Functional Specifications

Tools & Technologies

• GIS Software


• Statistical Analysis Tools


• Data Visualization Tools


• Banking Platforms


• AI-Driven Solutions