Note: The job is a remote job and is open to candidates in USA. Dice is presenting an opportunity for a ServiceNow AI Data Scientist supporting enterprise AI, analytics, and data readiness. The role analyzes and improves ServiceNow data for Now Assist, reporting, dashboards, Performance Analytics, Platform Analytics, and LLM-based capabilities while evaluating AI performance, supporting data governance, and partnering with technical and government stakeholders.
Responsibilities
- Perform data mining activities supporting: AI readiness; Knowledge quality; Search effectiveness; Customer Service Management; Operational performance; Process optimization; User behavior analysis; Data quality improvement
- Identify inconsistencies, anomalies, duplicate data, and other conditions affecting AI performance and reporting accuracy
- Develop recommendations that improve the quality, consistency, and usability of enterprise platform data
- Develop and maintain an expert understanding of ServiceNow's enterprise data architecture, including relationships across platform applications
- Analyze how ServiceNow data supports: Now Assist; AI Search; Virtual Agent; Knowledge Management; Customer Service Management; Platform Analytics; Performance Analytics; Reporting and Dashboards
- Evaluate structured and unstructured enterprise data supporting AI-enabled capabilities
- Recommend improvements to: Data relationships; Data quality; Knowledge organization; Search optimization
- Support AI initiatives across the ServiceNow platform
- Evaluate factors affecting: Response quality; Search relevance; Knowledge retrieval; Citation quality; Grounding effectiveness; Context availability; Hallucination trends; Response consistency
- Recommend improvements that increase the accuracy, relevance, and reliability of AI-generated outputs
- Assist in evaluating data requirements supporting new and emerging ServiceNow AI capabilities
- Partner with the Reporting Lead to improve enterprise reporting and analytical capabilities
- Develop analytical datasets supporting: Executive dashboards; Operational reporting; Performance metrics; AI adoption reporting; Platform health reporting
- Validate data quality and integrity supporting reports and dashboards
- Analyze reporting trends and recommend improvements to enterprise reporting structures
- Assist with development of Key Performance Indicators (KPIs) measuring: AI adoption; Data quality; Platform utilization; Knowledge effectiveness; Search performance; Operational efficiency
- Support ServiceNow Platform Analytics, Performance Analytics, and reporting capabilities through sound data analysis and governance
- Develop analytical methods measuring the effectiveness of AI-enabled capabilities
- Evaluate: AI utilization; Response effectiveness; Knowledge usage; Search performance; User engagement; Operational outcomes
- Provide recommendations supporting continuous improvement of AI capabilities through improved enterprise data
- Support AI Analysts by providing data-driven insights used for governance, capability planning, and operational decision making
- Support implementation of enterprise data governance practices that improve AI effectiveness and reporting accuracy
- Assist with development of standards for: Data quality; Metadata management; Taxonomy; Classification; Data lifecycle management; Knowledge organization
- Develop data quality metrics and scorecards supporting continuous platform improvement
- Coordinate with data owners across ServiceNow applications to improve enterprise data consistency
- Collaborate closely with: AI Analyst; Reporting Lead; ServiceNow Developers; Platform Administrators; Knowledge Managers; Business Analysts; Cybersecurity personnel; Government stakeholders
- Provide technical expertise supporting AI governance, enterprise analytics, reporting strategy, and ServiceNow data optimization
Skills
- Current DoDD 8140 / 8570 IAT Level II certification or ability to obtain
- U.S. Citizen
- Active Secret Security Clearance or ability to obtain one
- Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, Statistics, Mathematics, or related field, or equivalent experience
- Minimum three years of experience supporting enterprise data analysis, business intelligence, reporting, or data science initiatives
- Experience analyzing enterprise application data within complex operational environments
- Strong understanding of:
- Data analysis
- Data mining
- Statistical analysis
- Data quality management
- Business intelligence
- Reporting methodologies
- Experience developing:
- Dashboards
- Reports
- Analytical models
- KPIs
- Data visualizations
- Understanding of:
- Artificial Intelligence concepts
- Generative AI technologies
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Enterprise data governance
- Responsible AI principles
- ServiceNow, particularly:
- Customer Service Management (CSM)
- Platform Analytics
- Performance Analytics
- Reporting
- Dashboards
- Knowledge Management
- AI Search
- Now Assist
- Virtual Agent
- CMDB
- DB Experience with:
- SQL
- Business intelligence platforms
- Data visualization tools
- Data governance initiatives
- AI performance measurement
- AI Experience with:
- DoD AI Ethical Principles
- RMF 2.0
- NIST AI Risk Management Framework
- ITIL and IT Service Management practices
- Experience supporting enterprise AI, analytics, or ServiceNow implementations within Federal or Department of Defense environments
- Strong analytical, organizational, and communication skills
- Ability to communicate technical concepts effectively with Government, business, and technical stakeholders
Benefits
- Remote work
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