Senior / Staff Data Scientist, Trust & Safety

Responsibilities

• Define and evaluate metrics for the health of the Trust & Safety ecosystem.
• Analyze and contribute to models, algorithms, and methodologies for bot detection, content filtering, copyright detection, and related platform-safety challenges.
• Design and run online experiments end-to-end, from ideation and metric selection through analysis and decision recommendations.
• Partner with Product and Engineering to size opportunities and shape the Trust & Safety roadmap.
• Collaborate with Legal and cross-functional stakeholders to apply rigorous quantitative analysis to trust and safety problems.
• Contribute to strong data foundations as part of the data science team.

Requirements

• 6–8 years of experience in data science or a closely related analytical field.
• Several years of experience in Trust & Safety or adjacent areas such as spam, fraud, integrity, or policy-adjacent machine learning.
• Strong hands-on SQL and Python skills.
• Experience running online experiments from ideation and metric selection through analysis and final decision-making.
• Experience building metrics or evaluation frameworks from scratch.

Nice-to-Haves

• Experience training and building predictive machine learning models, both offline and in real time.
• Musician or creative hobbyist.

Compensation and Benefits

• Annual base salary range: $220,000–$320,000.
• Competitive equity package.
• 401(k) with 3% employer match and Roth 401(k).
• Medical, dental, and vision insurance, with PPO, HSA, and FSA options.
• 11 paid holidays, unlimited PTO, and sick time.
• 16 weeks of paid parental leave.
• Creative education stipend.
• Commuter allowance.
• In-office lunch five days per week.