Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
About the role
- Senior Marketing Data Scientist leading analytics and measurement for influencer marketing. Collaborating with cross-functional teams to drive insights and optimize marketing strategy.
Responsibilities
- 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).
Requirements
- 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.
Benefits
- 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.
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