Senior Data Scientist, Trust

The Role

What You’ll Own

• Define and operationalize the core Trust metric frameworks that anchors company-wide north star goals and cross-functional team performance
• Refine and validate the scoring model used to assess Linktree quality and risk, ensuring heuristic logic is measurable, calibrated, and aligned with policy standards
• Build and maintain production-grade datasets and dashboards that provide reliable visibility into platform risk and system performance
• Identify and size emerging abuse patterns through deep-dive analysis, and translate findings into clear product, policy, operations and engineering priorities
• Partner with Engineering to define evaluation frameworks for ML detection and LLM-based safety systems, including ground truth design and performance benchmarking
• Monitor model health in production (e.g., precision, recall, calibration, drift) and proactively surface degradation, bias, or failure model
• Support Trust incident response through rapid analysis, impact sizing, and postmortem insights that drive durable improvements
• Communicate risk trends and model performance insights through clear visualizations and executive-ready narratives

What You'll Bring

• 5+ years as a Data Scientist in a product-driven technology company
• Direct experience in Trust & Safety, Integrity, Fraud, Security, or other risk-focused domains 
• Proven ability to define and operationalize metric frameworks (e.g., Prevalence, Recall, and False Positive Rates) to evaluate the effectiveness of product, policy, or ML-driven interventions
• Experience evaluating machine learning models, including offline methodology, performance tradeoffs (precision/recall, calibration), and production monitoring
• Advanced SQL proficiency and fluency in Python (or R) for advanced analytics and modeling
• Strong foundation in statistics, experimentation design, and causal inference
• Experience working within mature data platforms and analytics engineering stacks (e.g., DBT, Dagster, Airflow)
• Experience designing intuitive, decision-oriented dashboards and compelling data visualizations using tools such as Hex, Looker, Tableau, or PowerBI
• Excellent communication skills with the ability to translate complex statistical findings and risk tradeoffs into clear recommendations for cross-functional stakeholders
• Bachelor’s Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Economics, or related); an advanced degree (MS/PhD) is a strong plus.

Our Story

Where and How We Work

How we’ll help you thrive

• An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!
• 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.
• Employer contribution towards your retirement.
• Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.
• Employee stock option program - we want each and every employee to share in the company’s success.