Senior Product Scientist (Marketing Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Product Scientist (Data Science / Marketing Measurement): Building and maintaining the marketing measurement foundation to enable evidence-based acquisition and retention decisions with an accent on incrementality testing and causal impact measurement. Focus on designing cross-channel experimentation infrastructure, identity resolution architecture, and connecting media investment to long-term member value.
Location: Must permanently reside in the US full-time. Hybrid (3 days/week) for candidates in San Francisco, CA; Remote for candidates in New York City, NY, and Seattle, WA.
Salary: $122,400 - $190,000 + equity
Company
provides lifelong mental health support through evidence-based content, clinical care, and innovative technology.
What you will do
- Craft product requirements and experimentation plans for marketing measurement and cross-channel incrementality testing.
- Design experimentation infrastructure to measure the causal impact of paid media on acquisition, retention, and sustainable LTV.
- Own the roadmap for data architecture and identity resolution to ensure reliable and scalable measurement.
- Translate complex measurement requirements into technical specifications for engineering and data science partners.
- Partner cross-functionally with Marketing, Growth, and Legal to align execution with measurement principles and privacy laws.
- Define and monitor key metrics connecting platform capabilities to business outcomes like member acquisition quality.
Requirements
- 3+ years of experience in product management, data science, or marketing technology.
- Strong knowledge of incrementality testing, media mix modeling, and multi-touch attribution.
- Experience partnering with engineering/data science teams to build and ship measurement systems in production.
- Solid grasp of identity resolution, event logging, and unbiased data architecture.
- Must permanently reside in the United States full-time.
- Strong communication skills to align stakeholders across marketing, engineering, and legal functions.
Nice to have
- Experience with customer data platforms (CDPs), clean rooms, or privacy-safe measurement infrastructure.
- Familiarity with causal inference methods such as holdout group design, geo-experiments, or synthetic control methods.
- Prior experience in digital health, consumer subscription, or direct-to-consumer sectors.
- Knowledge of data privacy and consent requirements like GDPR, CCPA, or ATT.
Culture & Benefits
- Comprehensive healthcare coverage, monthly wellness stipend, and retirement savings match.
- Stock awards and lifetime membership.
- Generous parental leave and a collaborative, inclusive work environment.
- Mission-driven culture focused on redefining accessible mental health care.
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