Act as the senior analytical authority for Marketing/UA setting measurement strategy, prioritising work, and guiding stakeholders on “what good looks like” across channels and markets.
Own and evolve best practices and standards for:
Attribution and measurement across privacy constraints (incl. SKAN)
Incrementality and experimentation (A/B, geo, holdout designs; test hygiene and interpretation)
Performance monitoring and outcome reporting
Budget allocation decision support and learning agendas
Provide thought leadership & work with external vendors on modelling approaches such as MMM, cohort-based LTV modelling, payback/ROI, and quality-adjusted acquisition metrics (beyond CPI/CAC).
Partner with Data Engineering / Analytics Engineering to ensure marketing data is reliable, scalable, and supports multiple outputs (dashboards, models, analyses), including governance and clear metric definitions.
Translate ambiguous stakeholder needs into crisp analytical briefs, proactively shaping scope, asking the right questions, and staying focused on the “so what” and decision impact.
Mentor analysts and data scientists; raise the bar on critical thinking, commercial acumen, and disciplined execution across the marketing ecosystem.
Bring an integrated perspective: connect channel performance to business health metrics, downstream conversion, retention, and marketplace quality (supply/demand balance).

Significant experience in marketing analytics / growth / UA data science (typically 5+ years, or equivalent depth), ideally in a high-scale consumer tech environment.
Deep knowledge of:
Mobile attribution and tracking (including SKAN realities and limitations)
Channel-level nuance (search, social, display, video, affiliates, ASA, etc.) and measurement pitfalls
Incrementality testing best practices and causal thinking
MMM (design, calibration, interpretation, and how to operationalise insights)
LTV / cohort modelling, payback, ROI, and quality-adjusted acquisition approaches (not just CPI/CAC)
Strong Python and SQL skills; ability to build repeatable analytical workflows and robust datasets.
Strong communication and stakeholder leadership. Able to influence decision-making up to senior/executive level and align cross-functional partners on measurement strategy.
Experience partnering with data engineering on ingestion, warehousing, and data model requirements for automated reporting and measurement.
Strong commercial judgement: you understand how marketing choices impact revenue, retention, marketplace health, and long-term growth.

Medical, Dental, Vision, 401(k) match
Unlimited Paid Time Off Policy.
Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.
26 Weeks Parental Leave: For both primary and secondary caregivers.
Family & Compassionate Leave: Inclusive of domestic violence recovery.
Company-wide Week Off: Annual collective rest for the entire company.
Focus Fridays: No meetings, emails, or deadlines—just deep work.

Senior Data Scientist – Marketing

Key skills