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Bumble Inc. · 2 months ago

Senior Data Scientist

US TX Austin

Full-time

Hybrid

Senior Level

$185K/yr - $210K/yr

Bumble Inc. is an equal opportunity employer looking for a Senior Data Scientist to join their Product Data Science team. The role involves uncovering drivers of member behavior and optimizing product performance through analytical insights and collaboration with cross-functional teams.

Computer Software

Responsibilities

Be an analytical thought partner to a cross-functional team of product managers, engineers and designers. This will include providing analytical support across all areas of the product development lifecycle, from ideation and broad product strategy to analytical deep dives and experimentation

Work cross-functionally to track events in the app, understanding which events are critical to understanding user behaviour

Provide actionable insights on product strategy to your stakeholders, automating decision-making where applicable and providing tools and solutions that help enable self-service and scalability

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

Contribute to data quality related to the domain, proactively working with Data and Analytics Engineering and other teams to improve data collection and modelling

Create an environment of utilising data for planning and execution, always keeping in mind alternative and creative solutions to performance measurement across a variety of product initiatives

Qualification

Product Data ScienceMachine LearningStatistical AnalysisSQLPythonData VisualizationAnalytical ThinkingCollaborationCommunicationProblem Solving

Required

Proven experience in Product Data Science/Analytics, being able to elaborate on the business impact you have driven in your previous experience

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)

Proven ability to connect analytics to commercial outcomes - you think in terms of impact, trade-offs, and growth opportunities

Skilled in data visualisation and storytelling, using tools such as Looker, Tableau

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

Comfort in operating in ambiguous and complex problem spaces, and helping product teams define hypotheses for optimisation. Confident in pushing back and saying no where needed