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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.
Job Responsibility:
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
Requirements:
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
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