Bumble Inc. is looking to uncover the drivers of member behaviour and performance across their products, and to inform product strategies and answer key business questions.
Requirements
- Strong Python and SQL skills for data manipulation, modeling, and automation.
- Experience applying machine learning or statistical methods to real-world business problems (e.g., clustering, regression, or propensity modeling).
- Skilled in data visualisation and storytelling, using tools such as Looker, Tableau.
- Experience developing or using customer or behavioural segmentation frameworks.
- Experience with data manipulation, modeling, and automation.
- Familiarity with machine learning techniques such as clustering, regression, and classification.
- Experience with data visualization tools such as Looker or Tableau.
Responsibilities
- Partner with commercial, product, and finance teams to define and investigate key business questions related to revenue growth and member behaviour.
- Develop and maintain member behavioural segmentations that help the business better understand and serve different user groups.
- Use data to identify patterns, opportunities, and risks within revenue and engagement metrics.
- Apply statistical and machine learning techniques (e.g., clustering, regression, classification) to support segmentation, and performance diagnostics.
- Translate complex analytical outputs into clear, commercially relevant insights and recommendations for decision-makers.
- Collaborate with data engineering and analytics teams to ensure data quality and reliable reporting foundations.
- Contribute to the development of measurement frameworks that evaluate the impact of pricing, product, and business initiatives.
Other
- 2–4 years of experience in a data science, analytics, or strategy role — ideally within a technology, subscription, or digital platform business.
- Excellent communicator with the ability to work cross-functionally and translate analytical findings into business language.
- A collaborative problem-solver with a curiosity for understanding how data influences business performance.
- Ability to connect analytics to commercial outcomes — you think in terms of impact, trade-offs, and growth opportunities.
- Ability to work in a collaborative environment where data drives decisions.
