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Mid LevelFull-timePythonRustData ScienceGitData
Salary Range
$120,000 - $140,000 /year
About the Role
We are looking for an Associate Data Scientist to join our Core Data Science team at Bumble Inc., supporting Marketing and User Acquisition (UA) measurement and insights. This role focuses on uncovering what drives acquisition performance across channels and translating data into clear recommendations that support growth.
Key Responsibilities
- →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.
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