Related skills
sql python machine learning data science trust & safetyπ Description
- Lead and grow the SCAR team defending against scalable abuse.
- Set a vision focused on automation with ML-driven detection.
- Define north-star metrics and a roadmap for high-impact work.
- Launch a research program to answer attacker questions via experiments.
- Integrate signals into model features and automated countermeasures.
- Partner cross-functionally with Product, Safety ML, Data Science, Policy, Legal, and Revenue.
π― Requirements
- 2+ years managing technical teams (engineers, ML engineers, data scientists, or similar).
- 4+ years in Trust & Safety, fraud, or adversarial domains at consumer scale.
- Proven ability to drive ML and automation adoption in safety/operations.
- Strong analytical skills with SQL and Python for data analysis.
- Ability to apply behavioral-economics reasoning to adversarial systems.
- Excellent cross-functional communication and collaboration.
π Benefits
- Relocation assistance may be available.
- Equity and comprehensive benefits.
- Health, dental, and vision coverage.
- Generous paid time off and flexible work arrangements where possible.
- Opportunity to work with a leading ML safety team at Discord.
π Relocation support
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