This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Bumble Inc. is seeking an experienced Senior Marketing Data Scientist to lead analytics and measurement across both lower and upper funnel marketing channels. In this role, you won’t just execute analyses, you will set the direction for what should be measured, how it should be measured, and how marketing insights should inform decisions across growth strategy, spend allocation, and creative effectiveness.
Job Responsibility:
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)
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
Nice to have:
Experience in a two-sided marketplace where acquisition must balance volume and quality (e.g., improving downstream conversion, retention, engagement, and marketplace outcomes)
Experience with creative effectiveness measurement and experimentation (creative learning agendas, lift tests, structured creative iteration)
Familiarity with tooling/vendor landscape and opportunities for automation (including GenAI-enabled workflows) where appropriate
What we offer:
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
Unlimited Paid Time Off: Take the time you need
Company-wide Week Off: Annual collective rest for the entire company
Focus Fridays: No meetings, emails, or deadlines—just deep work