Bumble Inc.
Overview
Senior Data Scientist role at Bumble Inc. You will join our Product Data Science team to uncover drivers of member behaviour and optimise performance across products. You’ll play a key role in driving business impact alongside product and engineering. Product Data Scientists operate across all stages of the product development lifecycle, looking for opportunities, providing actionable insights, and navigating trade-offs. This role uses SQL, Python, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for product partners. If you’re curious, commercially minded, and thrive in a collaborative environment where data drives decisions, we’d love to hear from you. Base pay
$185,000.00/yr - $210,000.00/yr 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 let us know how we can help. In your application, please note which pronouns you use (for example: she/her, he/him, they/them, etc). About the role
Bumble Inc. is looking for a Senior Data Scientist to join our Product Data Science team — helping to uncover the drivers of member behaviour and optimise performance across our products. You’ll play a key role in driving business impact alongside product and engineering. Product Data Scientists operate across all stages of the product development lifecycle, constantly looking for opportunities, providing actionable insights, and navigating trade-offs. You’ll use SQL, Python, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for product partners. Key accountabilities
Be an analytical thought partner to a cross-functional team of product managers, engineers and designers. This includes providing analytical support across the product development lifecycle, from ideation and strategy to analytical deep dives and experimentation. Work cross-functionally to track events in the app, identifying events critical to understanding user behaviour. Provide actionable insights on product strategy to stakeholders, automating decision-making where applicable and providing tools that 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 within the domain, collaborating with Data and Analytics Engineering and other teams to improve data collection and modelling. Create an environment of data-driven planning and execution, considering alternative and creative solutions to performance measurement across product initiatives. Experience we are looking for
Proven experience in Product Data Science/Analytics with demonstrated business impact. Preference for experience on dating/social/gaming tech products or high-data-volume platforms. Strong Python and SQL skills for data manipulation, modelling, and automation. Experience applying ML or statistical methods to real-world problems (e.g., clustering, regression, propensity modelling). Ability to connect analytics to commercial outcomes, focusing on impact, trade-offs, and growth opportunities. Skilled in data visualisation and storytelling using tools such as Looker or Tableau. Excellent communicator with the ability to work cross-functionally and translate findings into business language. Collaborative problem-solver with curiosity for understanding how data influences business performance. Comfort operating in ambiguous spaces and helping product teams define hypotheses for optimisation; able to push back when needed. 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 created with women at the center and connects people across dating (Bumble Date) and friendship (BFF). Badoo, founded in 2006, is a pioneer of web and mobile dating products. AI in Bumble Inc. Hiring
At Bumble, we may use AI tools to support parts of our recruitment process — such as recording, transcribing, and summarising conversations, and matching resumes to highlight skills and potential roles. AI is used to support our team’s efficiency and improve candidate experience; it does not evaluate or decide on candidacy. Participation in AI-supported interviews is voluntary. If you’d prefer to opt out, inform your recruiter at the start of a call. Transcripts and related data are retained only as needed per our data retention policies. For transcription or summary deletion, contact your recruiter. Benefits
For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is typically eligible for short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off. Other benefits may include fertility and family leave programs. Job details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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Senior Data Scientist role at Bumble Inc. You will join our Product Data Science team to uncover drivers of member behaviour and optimise performance across products. You’ll play a key role in driving business impact alongside product and engineering. Product Data Scientists operate across all stages of the product development lifecycle, looking for opportunities, providing actionable insights, and navigating trade-offs. This role uses SQL, Python, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for product partners. If you’re curious, commercially minded, and thrive in a collaborative environment where data drives decisions, we’d love to hear from you. Base pay
$185,000.00/yr - $210,000.00/yr 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 let us know how we can help. In your application, please note which pronouns you use (for example: she/her, he/him, they/them, etc). About the role
Bumble Inc. is looking for a Senior Data Scientist to join our Product Data Science team — helping to uncover the drivers of member behaviour and optimise performance across our products. You’ll play a key role in driving business impact alongside product and engineering. Product Data Scientists operate across all stages of the product development lifecycle, constantly looking for opportunities, providing actionable insights, and navigating trade-offs. You’ll use SQL, Python, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for product partners. Key accountabilities
Be an analytical thought partner to a cross-functional team of product managers, engineers and designers. This includes providing analytical support across the product development lifecycle, from ideation and strategy to analytical deep dives and experimentation. Work cross-functionally to track events in the app, identifying events critical to understanding user behaviour. Provide actionable insights on product strategy to stakeholders, automating decision-making where applicable and providing tools that 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 within the domain, collaborating with Data and Analytics Engineering and other teams to improve data collection and modelling. Create an environment of data-driven planning and execution, considering alternative and creative solutions to performance measurement across product initiatives. Experience we are looking for
Proven experience in Product Data Science/Analytics with demonstrated business impact. Preference for experience on dating/social/gaming tech products or high-data-volume platforms. Strong Python and SQL skills for data manipulation, modelling, and automation. Experience applying ML or statistical methods to real-world problems (e.g., clustering, regression, propensity modelling). Ability to connect analytics to commercial outcomes, focusing on impact, trade-offs, and growth opportunities. Skilled in data visualisation and storytelling using tools such as Looker or Tableau. Excellent communicator with the ability to work cross-functionally and translate findings into business language. Collaborative problem-solver with curiosity for understanding how data influences business performance. Comfort operating in ambiguous spaces and helping product teams define hypotheses for optimisation; able to push back when needed. 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 created with women at the center and connects people across dating (Bumble Date) and friendship (BFF). Badoo, founded in 2006, is a pioneer of web and mobile dating products. AI in Bumble Inc. Hiring
At Bumble, we may use AI tools to support parts of our recruitment process — such as recording, transcribing, and summarising conversations, and matching resumes to highlight skills and potential roles. AI is used to support our team’s efficiency and improve candidate experience; it does not evaluate or decide on candidacy. Participation in AI-supported interviews is voluntary. If you’d prefer to opt out, inform your recruiter at the start of a call. Transcripts and related data are retained only as needed per our data retention policies. For transcription or summary deletion, contact your recruiter. Benefits
For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is typically eligible for short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off. Other benefits may include fertility and family leave programs. Job details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development
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