Senior Data Scientist - Marketing

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.

You’ll bring deep, hands-on expertise in mobile attribution and privacy-era measurement (including SKAN constraints), channel performance nuance, incrementality testing, MMM, and commercial modelling (including LTV and cohort-based performance). You’ll work closely with Marketing, Core Data Science, Product, Finance, and Data/Engineering partners to build scalable frameworks and trusted sources of truth.

Ideally, you’ve worked in a two-sided marketplace (e.g., dating, rideshare, marketplaces, social platforms) and understand that “growth” isn’t just volume, you optimise for quality users, and long-term value.

KEY ACCOUNTABILITIES

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).

EXPERIENCE WE ARE LOOKING FOR

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.

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.

LOCATION

This role is based in Austin, and we ask that you’re within a commutable distance to this office, or be willing to relocate within a commutable distance. We have a hybrid environment that requires you to be in the office Monday - Wednesday. Please note: We are unable to offer Visa sponsorship or transfer at this time