Principal Data Scientist

Bitsight

Principal Data Scientist defining and executing the future of ML and AI strategy at Bitsight. Leading the development of advanced ML applications and driving business impact with cybersecurity datasets.

Posted 4/24/2026full-timeRemote • 🇺🇸 United StatesLead💰 $180,000 - $205,000 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsPythonSQL

About the role

Key responsibilities & impact

Own the ideation and execution of high-impact ML/AI initiatives that directly advance Bitsight's product strategy and technical roadmap.
Design, build, and deploy production-grade ML models and automation systems that support critical business features.
Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering, training, evaluation, deployment, monitoring, and automated feedback and retraining loops.
Serve as the principal architect for scalable, high-performance ML/AI components within our cloud-based distributed systems.
Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation.
Drive the integration of ML/AI outcomes, translating complex findings into clear, actionable product decisions for engineering and business stakeholders.
Establish and promote best practices for ML/AI development, model operations, and data-quality standards.
Mentor technical contributors across teams, elevating technical quality and accelerating development.

Requirements

What you’ll need

M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent practical experience.
Extensive experience (8+ Years for Principal level) delivering ML/AI-powered product features from concept to production.
Expertise in Python, SQL, distributed compute environments, and cloud platforms.
Demonstrated ability to lead complex ML/AI initiatives driving business impact.
Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
Proven capability to bring structure to ambiguous problem spaces and drive them toward actionable, high-impact outcomes.
Preferred: Experience with advanced ML techniques such as deep learning, GNNs, anomaly detection, or probabilistic modeling.
Preferred: Background in cybersecurity, threat intelligence, or large-scale network analytics.

Benefits

Comp & perks

medical, dental, and vision insurance
paid parental leave
flexible time off
401(k) plan with employee and company contribution opportunities
life and disability insurance
tuition reimbursement

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningartificial intelligencePythonSQLdata extractionfeature engineeringmodel operationsdeep learninganomaly detectionprobabilistic modeling

Soft Skills

communicationleadershipmentoringproblem-solvinginfluencingcollaborationorganizational skillsanalytical thinkingdecision-makingadaptability

Certifications

M.S. in Computer SciencePh.D. in a quantitative field