Description
Senior Data Scientist - Marketing
Team: Data Science
Location: US TX Austin
Commitment: Employee - Regular/Permanent
Workplace Type: hybrid
Salary:
For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include 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.
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
About Us
Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.
AI Fluency
AI is important to us. We’re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes.
We encourage you to use AI responsibly as you prepare your application. Please don’t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.
Inclusion at Bumble Inc.
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.
In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
AI in Bumble Inc. Hiring
At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you’d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you’d like a transcription or summary deleted, please contact your recruiter directly.
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