Description
The AI Data Scientist supports the implementation, optimization, and sustainment of ServiceNow Now Assist by serving as the team's technical expert for enterprise data, analytics, and AI data readiness. Working under the direction of the AI Analyst and in close collaboration with the Reporting Lead, this position analyzes how ServiceNow data is created, governed, related, and consumed to improve reporting, operational analytics, and AI-enabled capabilities.
The AI Data Scientist develops analytical models, performs data mining, evaluates AI performance, and provides recommendations that improve the quality, integrity, and usability of enterprise data supporting ServiceNow reporting, dashboards, Performance Analytics, Platform Analytics, and Large Language Model (LLM)-based capabilities.
This role works closely with AI Analysts, Reporting personnel, ServiceNow Engineers, Platform Administrators, Knowledge Managers, Cybersecurity personnel, and Government stakeholders to identify opportunities for improving enterprise data, enabling responsible AI adoption, and supporting data-driven decision making across the platform.
The ideal candidate possesses strong analytical skills, a thorough understanding of ServiceNow's data model and reporting capabilities, experience with enterprise data analysis, and an understanding of how modern AI technologies consume and utilize enterprise data.
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.
LLM Data Evaluation
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.
Reporting and Business Intelligence Support
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.
AI Performance Analytics
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.
Data Governance
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.
Collaboration
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.
Qualifications
Desired Qualifications:
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.
REQUIRED:
Current DoDD 8140 / 8570 IAT Level II certification or ability to obtain.
U.S. Citizen.
Active Secret Security Clearance or ability to obtain one.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
REQNUMBER: 2615738
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability
