Senior Data Scientist (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Data Scientist (AI): Designing and deploying agentic AI systems and RAG pipelines for the Game Warden platform with an accent on reliability, traceability, and output quality. Focus on building multi-LLM ensemble systems, developing quantitative evaluation frameworks, and driving AI-native product transformation in the cybersecurity domain.
Location: Must be a U.S. citizen and reside in approved hiring hubs: DC/Maryland/Virginia, Raleigh/Durham/Chapel Hill (NC), Denver/Colorado Springs (CO), or Dallas/Fort Worth (TX).
Salary: $137,000 β $180,000
Company
A public-benefit software company powering secure software delivery and adoption for the U.S. government and national security agencies.
What you will do
- Design, develop, and improve agentic AI systems using LangGraph and LangChain, focusing on reliability and measurable quality.
- Develop and mature evaluation frameworks to assess AI outputs for groundedness, faithfulness, and relevance.
- Improve multi-LLM ensemble systems including consensus scoring methods and model weighting.
- Develop AI/ML components for RAG systems, including embedding strategies and retrieval optimization.
- Partner with Product and Engineering teams to integrate AI into onboarding, deployment, and remediation workflows.
- Define standards for responsible AI integration, including explainability and model governance.
Requirements
- U.S. citizenship is required due to government contract requirements.
- Must reside in one of the approved hiring hubs in the USA.
- 5+ years of experience in applied machine learning, data science, or AI engineering.
- 2+ years of experience working with large language models (LLMs) in production.
- Strong proficiency in Python and the modern ML/AI ecosystem.
- Hands-on experience with RAG, vector databases, and foundation model APIs (AWS Bedrock, OpenAI, Anthropic, Cohere).
Nice to have
- Experience with cybersecurity data, vulnerability management, or threat intelligence.
- Active security clearance or eligibility to obtain one.
- Experience with model fine-tuning, RLHF, or PEFT methods.
- Familiarity with compliance frameworks such as NIST 800-53 or FedRAMP.
Culture & Benefits
- 100% healthcare, vision, and dental coverage.
- 401(k) with 3% company contribution.
- Equity incentive plan and annual professional development stipend.
- Flexible paid time off and federal holidays.
- Tech and office supplies stipend.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β