Data Science Lead, RQ
$120,000–$150,000 year
Remote · Arlington, Virginia, United States or United States
Arlington, Virginia, United States or United StatesRemoteFull Time$120,000–$150,000 yearSenior LevelDoctorate Or Professional DegreeUnknown
Type
Full Time
Level
Senior Level
Education
Doctorate Or Professional Degree
Company size
Unknown
Job Summary
Lead Data Scientist role focusing on risk modeling, explainable AI, and threat-to-risk analytics in a cybersecurity context, requiring advanced qualifications and 7+ years of experience.
Required Qualifications
- 7+ years of experience in applied data science, quantitative modeling, or algorithm development
- Strong understanding of cybersecurity principles, threat actor behavior, or risk frameworks (e.g., NIST CSF, MITRE ATT&CK, FAIR)
- Proven ability to build and deploy risk or predictive models in enterprise environments
- Proficiency in Python and familiarity with modeling libraries (e.g., NumPy, PyMC3, scikit-learn)
- Experience with Git, Jira, and modern ML ops pipelines
- Strong communication and storytelling skills for technical and non-technical audiences
Desired Qualifications
- Experience building CRQ models in alignment with FAIR or related frameworks
- Familiarity with simulating attack paths, graph-based reasoning, or control validation
- PhD or advanced degree in data science, computer science, engineering, or related field
- Experience with integrating models into SaaS platforms or cloud-native environments
- Background in red/blue teaming, SOC data, or adversary emulation
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