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

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ServiceNow AI Data Scientist