Senior/Principal Data Scientist - Security AI & ML, Hybrid

Cervin Ventures; Boulder (CO); Hybrid; USD 160,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) plan

PTO

Job summary

RADICL Defense is seeking a Senior/Principal Data Scientist to advance AI and ML for cybersecurity. You will write code, run experiments, and ship models in a hands-on role, shaping the platform for SMB protection in regulated environments.

This role emphasizes production-grade ML, evaluation, and collaboration with security experts. The position offers a hybrid work model based in Boulder, CO, with compensation in the advertised annual ranges and benefits including health, dental, vision,

Qualifications

• 6+ years in data science or applied ML (Senior), or 8+ (Principal), with models you shipped and maintained in production.
• Strong Python and SQL, and large-scale data processing on a major cloud platform.
• Experience evaluating and improving LLM or agent systems in production.
• Hands-on experience adapting or training models for a specialized domain.
• Anomaly detection or classification with rare events and noisy labels.
• Solid statistics and experimental design, and the judgment to ship a simple baseline when it's good enough.
• Comfort in an engineering team: reading production code, writing tests, and writing clear RFCs.
• Principal: you've owned ML problems end to end and can defend architecture decisions for the ML stack.

Responsibilities

• Evaluate our agents. Define how we know our AI is right, measure it against analyst verdicts, and gate every change on the results.
• Make our AI better. Improve the quality, speed, and cost of our triage, investigation, and search agents.
• Adapt models to security. Decide when to customize or train models on our analyst-labeled data, and do it.
• Detect behavior, not signatures. Build models that catch threats rules miss across endpoint, identity, email, cloud and SaaS audit, network, and vulnerability data.
• Protect our own AI. Keep attacker-controlled data from manipulating our agents.
• Prove it in production. Show whether AI is helping, using measures like time to triage, analyst override rate, and false-positive load.
• Run it like software. Own versioning, monitoring, and strict per-customer data isolation, with outputs traceable enough for CMMC audits. Your skillset/experience should include:

Skills

Python

SQL

Cloud platforms

LLM/agent systems

Anomaly detection

Statistics

Experiment design

Production code & tests

RFCs

Job description

RADICL Defense is seeking a Senior/Principal Data Scientist to advance AI and ML for cybersecurity. You will write code, run experiments, and ship models in a hands-on role, shaping the platform for SMB protection in regulated environments.

This role emphasizes production-grade ML, evaluation, and collaboration with security experts. The position offers a hybrid work model based in Boulder, CO, with compensation in the advertised annual ranges and benefits including health, dental, vision,