Description
Associate 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 looking for an Associate Data Scientist to join our Core Data Science team, supporting Marketing and User Acquisition (UA) measurement and insights. You’ll help uncover what drives acquisition performance across channels, improve how we evaluate spend and efficiency, and translate data into clear recommendations that support growth.
This role is ideal for someone early in their data science career who’s excited by commercial problem-solving and wants to work closely with marketing, product, and finance partners. You’ll use Python and SQL to explore data, build repeatable reporting/analysis workflows, and contribute to measurement frameworks that guide decision-making.
KEY ACCOUNTABILITIES
- Partner with Marketing/UA, Product, and Finance teams to define and investigate key questions related to acquisition performance and growth.
- Support measurement of campaign performance (e.g., efficiency, quality, retention, LTV/ROI), and help improve how results are tracked and reported.
- Build and maintain dashboards, datasets, and analysis pipelines that make performance data accessible and trusted.
- Conduct deep-dive analyses to identify patterns, drivers, and opportunities across channels, geos, and audience cohorts.
- Help develop and operationalise experimentation and incrementality approaches (e.g., A/B tests, geo tests) to evaluate marketing impact.
- Communicate insights clearly, turning analysis into practical recommendations for stakeholders.
- Collaborate with Analytics and Data Engineering to improve data quality, definitions, and instrumentation relevant to acquisition and attribution.
EXPERIENCE WE ARE LOOKING FOR
- 1–3 years of experience in analytics, data science, marketing analytics, consulting, or a similar role (tech/digital consumer experience a plus).
- Strong Python skills for analysis and automation (e.g., pandas, notebooks) and strong SQL for data extraction and transformation.
- Solid grounding in statistics and measurement concepts (e.g., confidence intervals, bias/confounding, experiment interpretation).
- Comfort working with marketing/UA metrics and funnels (e.g., CPI/CAC, conversion rate, payback, retention) or strong interest in learning quickly.
- Experience with data visualisation/storytelling (e.g., Looker, Tableau) and presenting insights to non-technical audiences.
- Collaborative mindset, curiosity, and a practical approach to solving ambiguous business problems.
NICE TO HAVE
- Familiarity with attribution concepts and tooling (e.g., MMM outputs, SKAN-style constraints, channel reporting nuances).
- Experience with causal/incrementality thinking.
- Experience working with product funnels or lifecycle metrics in a consumer app environment.
- Experience in a multi-sided marketplace and understanding it’s nuance & trade-offs
LOCATION
- This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.
- We have a hybrid environment that requires you to be in the office Monday - Wednesday.
- Please note: We are unable to offer Visa sponsorship 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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