Data Scientist

• Extract decades of EMPRV data, including work orders, asset hierarchy, maintenance history, and materials data, likely from Oracle, into Delta tables
• Perform maintenance and work-order analytics, including backlog and aging, planned versus actual labor and cost, repeat work orders, crew productivity, and schedule adherence
• Develop reliability and asset-health models covering failure patterns, time-to-failure, survival models, risk-based maintenance prioritization, and anomaly detection
• Conduct materials and inventory analytics, including spare-parts demand forecasting, slow-moving or obsolete stock analysis, and bill-of-materials consumption analysis
• Build a Databricks App as a self-service front end to replace legacy EMPRV queries and reports
• Apply text analytics and LLMs to technician work-order notes to classify failure modes or cause codes
• Drive advanced analytics initiatives focused on improving operations analytics accuracy
• Collaborate directly with operations stakeholders to define data based on how EMPRV is used

Senior Data Scientist – Operation Analyst

• Develop, implement, or evaluate health information technology applications, tools, processes, or structures for clinical and research data collection/extraction
• Prepare estimates and feasibility analyses of data requests for principal investigators
• Analyze and interpret information systems data to improve research and clinical services
• Design, develop, select, test, implement, and evaluate informatics solutions, data structures, and decision-support mechanisms
• Support patients, healthcare professionals, and information management and human-computer/human-technology interactions in healthcare contexts
• Review code written by team members and ensure data accuracy
• Develop strategies, policies, or procedures for introducing, evaluating, or modifying information technology in clinical practice, education, administration, or research
• Educate staff and assist with problem solving for healthcare IT and data management platform implementation
• Collaborate on short-term investigator projects, longer-term research with external research institutions, and data commercialization projects
• Integrate technical, regulatory, and commercial intelligence into strategic insights guiding commercialization pathways and project prioritization
• Perform other duties as assigned

Medical Informaticist II – Institute for Informatics, Data Science and Biostatistics

• Work in a team environment and interact with production offices, analysis, and data owners
• Document, manage, and automate enterprise geodatabase synchronizations and workflows
• Automate processes through scripting and model building within ESRI Portal technology to develop and maintain map services
• Identify, document, address, and communicate technical challenges
• Perform data extraction, validation, manipulation, and management
• Analyze data integrity, identify patterns, and communicate corrections
• Perform statistical analysis to identify trends and patterns and build reports for SF leadership, the IC, and DoD/NSG
• Deliver schema maps and entity resolution across disparate geospatial data sources
• Document and visualize temporal and spatial data to support integrity checks and analytical assessments
• Develop and apply methods to identify, collect, process, and analyze large volumes of data for GEOINT processes and systems
• Support GEOINT web services publication, content metadata tagging, and publication of GEOINT web services
• Implement ESRI Story Maps in a classified environment
• Support and manage geodatabase versioning workflows
• Provide dashboard support and business analytics
• Support data visualization using IC Portal and other dynamic viewers
• Design, develop, program, and test applications and exchange data among information systems
• Travel less than 5%

• Develop and manage audience segmentation strategies for acquisition, retention, cross-sell, and reactivation campaigns
• Build and maintain target audiences for lifecycle, promotional, triggered, and seasonal CRM programs
• Translate marketing objectives into actionable targeting requirements with CRM Strategy teams
• Collaborate with CRM Operations to ensure accurate audience delivery and activation
• Define audience criteria, suppression logic, eligibility rules, and personalization requirements
• Validate audience selections and targeting outputs for accuracy and compliance
• Partner with Analytics to evaluate audience performance and identify optimization opportunities
• Work with Technology to resolve data quality, integration, and audience delivery issues
• Support testing initiatives and audience experimentation
• Maintain audience documentation and segmentation standards
• Partner with CRM Strategy, CRM Operations, Analytics, Technology, Go-to-Market, and Product teams
• Leverage first-party data and marketing technology platforms to enable targeted communications across SFMC, AJO, and related CRM channels

Senior CRM Data Manager

• Develop and manage audience segmentation strategies for acquisition, retention, cross-sell, and reactivation campaigns
• Build and maintain target audiences for lifecycle, promotional, triggered, and seasonal CRM programs
• Translate marketing objectives into actionable targeting requirements with CRM Strategy teams
• Collaborate with CRM Operations to ensure audiences are accurately delivered and activated
• Define audience criteria, suppression logic, eligibility rules, and personalization requirements
• Validate audience selections and targeting outputs for accuracy and compliance
• Partner with Analytics to evaluate audience performance and identify optimization opportunities
• Work with Technology to resolve data quality, integration, and audience delivery issues
• Support testing initiatives and audience experimentation
• Maintain audience documentation and segmentation standards