Bumble Inc. is looking for a Data Scientist to join our Core Data Science team — helping to uncover the drivers of member behaviour and performance across our products. You’ll play a key role in shaping how we understand and segment our members, providing insights that directly inform product strategies and answer key business questions.

 

This role is ideal for someone who’s passionate about applying analytical thinking to commercial problems. You’ll use Python, SQL, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for business partners.

 

If you’re curious, commercially minded, and thrive in a collaborative environment where data drives decisions, we’d love to hear from you.

 

Bumble Inc. is looking for a Data Scientist to join our Core Data Science team — helping to uncover the drivers of member behaviour and performance across our products. You’ll play a key role in shaping how we understand and segment our members, providing insights that directly inform product strategies and answer key business questions.

 

This role is ideal for someone who’s passionate about applying analytical thinking to commercial problems. You’ll use Python, SQL, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for business partners.

 

If you’re curious, commercially minded, and thrive in a collaborative environment where data drives decisions, we’d love to hear from you.

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 one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products.    AI Fluency AI is important to us. We’re excited by people who are curious and experimental, and who think thoughtfully about how AI can amplify their impact and outcomes. We encourage you to use AI responsibly as you prepare your application. Please don’t use it to fabricate experiences or answer questions live in interviews. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to us.   Final Compensation Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job-related considerations.

Benefits & Perks
Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
Premium App Access

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 don't hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).   AI in Bumble Inc. Hiring  At Bumble, we may use AI tools to support parts of our recruitment process — such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team’s efficiency and improve the candidate experience — not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you’d prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you’d like a transcription or summary deleted, please contact your recruiter directly. For further information on how we hold and manage your data, please refer to our Privacy Policy.

KEY ACCOUNTABILITIES

  • 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.

  • Help build a data-informed culture by communicating insights in an engaging, strategic, and actionable way.

EXPERIENCE WE ARE LOOKING FOR

  • 2–4 years of experience in a data science, analytics, or strategy role — ideally within a technology, subscription, or digital platform business.

  • 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.

  • Experience developing or using customer or behavioural segmentation frameworks.

  • 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.

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

    • LOCATION

  • This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.
  • We have a hybrid environment that requires you to be in the office Monday - Wednesday.
  • Please note: We are unable to offer Visa sponsorship at this time