2 дня назад
Manager, Analytics (Integrity)
145 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Analytics (Integrity) (Trust & Safety/Data Science): Leading a data science team and building measurement frameworks for Tinder’s safety, account integrity, anti-abuse, and moderation products with an accent on experimentation, causal inference, and classifier evaluation. Focus on investigating adversarial behavior, defining protection-versus-member-experience metrics, and translating complex analyses into executive-level decisions.
Location: Hybrid, with in-office collaboration three times per week in New York, Los Angeles, or Dallas, United States
Salary: $145,000–$210,000 annually, with city-specific geographic adjustments.
Company
’s Tinder business builds large-scale products focused on human connection, member safety, data-driven experiences, and online trust.
What you will do
- Manage, coach, hire, and develop a team of three data scientists supporting the Integrity organization.
- Partner with product leaders across Safety Products, Account Integrity, Anti-Abuse, and Moderation & Ops.
- Shape product roadmaps by sizing opportunities, testing hypotheses, and defining measurable success criteria.
- Lead investigations into abuse-pattern shifts, enforcement anomalies, and regressions in member experience.
- Build measurement frameworks covering prevalence, enforcement precision and recall, appeals, reversals, moderation throughput, and quality.
- Guide experimentation and causal measurement for enforcement, verification, and moderation-policy changes, then communicate recommendations to Product, Engineering, Legal, Policy, and executives.
Requirements
- Bachelor’s, Master’s, or equivalent experience in statistics, economics, mathematics, computer science, data science, or a related quantitative field.
- 5+ years of experience in data science or analytics, including 2+ years managing data scientists or analysts.
- Expert-level SQL and strong working knowledge of Python or R.
- Deep experience with experimentation, causal inference, large event-level datasets, and analytics or business intelligence tools such as Databricks, Tableau, or Mode.
- Knowledge of classifier evaluation, including precision, recall, threshold selection, and false-positive/false-negative trade-offs.
- Experience in trust and safety, fraud, risk, content moderation, or another domain involving sensitive or adversarial behavior, plus strong cross-functional communication skills.
Nice to have
- Familiarity with global online safety or age-assurance regulations and reporting obligations.
- Experience partnering with machine learning teams on detection or ranking models.
- Experience building or adopting AI-assisted analytics workflows.
Culture & Benefits
- Flexible vacation and 10 sick days.
- Health, vision, dental, parental-leave, and family-forming benefits.
- 100% 401(k) employer match up to 10% and access to an Employee Stock Purchase Plan.
- Professional development support including MentorMatch, Udemy access, and a $3,000 annual stipend.
- Wellness support, mental-health services, pet insurance, fitness and commuter subsidies.
- Free Tinder Gold subscription and matched charitable donations.
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