Who are we?

UpGuard’s mission is to make life easier for security teams. We meticulously create robust solutions that enable our customers to identify, assess, and remediate cybersecurity risk across their attack surface, vendor ecosystem, workforce, and trust relationships. Our integrated cyber risk posture management platform combines comprehensive security ratings, instant risk assessments, templated security questionnaires, threat intelligence capabilities, and agentic AI to give organizations a holistic view of their risk surface.

Our Product team at UpGuard comprises of our Product Management, Product Support, Engineering, Design, Data Leaks Detection, and Third Party Risk Management Services. Our Product team’s vision is to become the leader in the Cyber VRM category by providing a best-in-class SaaS platform for organizations to manage their third-party risk and external attack surface. Our purpose as a Product team is simply to build a product that enables this. We aim to build a product that users love and come to rely on, and one that regularly and consistently improves.

Where does this role fit in?

We’re looking for a Senior Data Scientist to lead the evolution of our scoring algorithms, provide data-driven insights to our product squads, and help shape how AI is applied across our products. This role bridges analytics, data science, and applied AI, helping turn complex security data into actionable, trustworthy intelligence.

What will you do?

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk.
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores.
Measure and improve score accuracy, stability, and interpretability.
Work with engineers to deploy and monitor models in production environments.
Partner with PMs and designers to define success metrics and measure product outcomes.
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities.
Build reusable datasets, dashboards, and frameworks for self-serve analytics.
Establish best practices for experimentation and data-driven decision making across squads.
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization.
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection).
Define standards for safe, efficient AI usage, including model evaluation and prompt testing.

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Senior Data Scientist