What are the responsibilities and job description for the Enterprise Data and AI Solutions Scientist position at ChatGPT Jobs?
Job Description
Enterprise Data and AI Solutions Scientist
Location: Washington, DC (Hybrid - On-site at least 1 day per week)
Job ID: 2613789
Date Posted: 2026-06-17
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Clearance: Secret (US Citizenship Required)
Overview
Lead investigative data-discovery efforts to bridge raw enterprise data with AI-driven enrichment and automation. Role involves exploring unknown systems, correlating records, and building repeatable analytics/automation.
Key Responsibilities
Required
Target: $80,001 - $120,000 (based on experience)
Enterprise Data and AI Solutions Scientist
Location: Washington, DC (Hybrid - On-site at least 1 day per week)
Job ID: 2613789
Date Posted: 2026-06-17
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Clearance: Secret (US Citizenship Required)
Overview
Lead investigative data-discovery efforts to bridge raw enterprise data with AI-driven enrichment and automation. Role involves exploring unknown systems, correlating records, and building repeatable analytics/automation.
Key Responsibilities
- Investigative Data Discovery: Hunt for data across enterprise platforms (Splunk, ServiceNow)
- Platform Exploration: Identify indexes, sourcetypes, tabeles, fields, APIs in Splunk/ServiceNow
- Data Correlation: Link disparate systems (CMDB, endpoint, identity, asset data)
- Advanced Querying: Use SPL, SQL, Python, REST APIs
- AI Enrichment: Apply GenAI to normalize, infer, or generate missing data
- AI Output Validation: Evaluate accuracy and document confidence
- Automation Integration: Convert discoveries into RPA/workflows
- Solution Design: Choose between data engineering, API, automation, or AI
- Prototyping: Build dashboards, PoCs, and communicate findings
- Investigative curiosity
- Systems thinking (data flow across platforms)
- Evidence-based validation
- Solution orientation (scalable capabilities)
- Consultative communication
Required
- Bachelor’s in Data Science, CS, or related (2-5 years experience; or equivalent)
- Hands-on Splunk (SPL, indexes, correlation)
- ServiceNow (CMDB, asset tables, APIs)
- SQL & Python proficiency
- REST API & JSON experience
- AI/GenAI for data enrichment
- Validation of generated data
- US Citizenship Active Secret Clearance
- Databricks/Spark/Delta Lake
- LLM API integration (prompt design, parsing)
- Power Automate or UiPath
- RAG/vector databases/embedding models
- Federal/regulated/cybersecurity/ITAM
Target: $80,001 - $120,000 (based on experience)
Salary : $80,001 - $120,000