Senior Data Scientist

Job Description

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).

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.

This role is ideal for someone who’s passionate about applying analytical thinking to product problems. 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.

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

For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.

26 Weeks Parental Leave: For both primary and secondary caregivers.

Family & Compassionate Leave: Inclusive of domestic violence recovery.

Unlimited Paid Time Off: Take the time you need.

Company-wide Week Off: Annual collective rest for the entire company.

Focus Fridays: No meetings, emails, or deadlines—just deep work.

KEY ACCOUNTABILITIES

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.

EXPERIENCE WE ARE LOOKING FOR

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

Preference for experience working on similar dating/social/gaming tech products or high-data-volume platform businesses.

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.

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 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.

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