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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.
Job Responsibility:
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
Requirements:
5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment
Nice to have:
Familiarity with or enthusiasm for cybersecurity, cyber risk management, or related fields is highly desirable
Domain experience in actuarial science, credit risk, and threat intelligence
What we offer:
Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
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