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Muzz, the world's largest Muslim dating and marriage app, seeks a smart data scientist to join our London-based Data team. Hybrid work (3 days in office) and a role with entrepreneurial impact on our global growth strategy.
You will own marketing measurement, build predictive models, and collaborate with marketing, growth, and product teams to drive data-driven strategies. If you love numbers and turning insights into commercial impact, join us.
Aldgate, London, Hybrid (3 Days in office)
Full-time
We need a smart and ambitious data scientist, with real entrepreneurial flair to join our Data team to understand our members and all the metrics that matter. Love numbers and love being commercial? This role offers the opportunity to directly influence our global growth strategy.
Muzz is the world's largest Muslim dating and marriage app. We've got over 15 million members and have helped more than 600,000 couples get married. We're on our way to become the first $1 billion Muslim tech brand - but we need your help!
We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London . Join our fast growing team and work on an amazing product that's changing the world.
We're the leading app in this space with over 20 million members worldwide and counting!
From dental check-ups to specialist cancer care, plus a GP in your pocket and a nurse on the line 24/7. Your health is in good hands.
We have people from all walks of life all adding their unique perspective. Muslims and non-Muslims, cat lovers and dog lovers. Everyone is welcome!
We're all working together to succeed and everyone on the team gets a slice of the pie.
We value curiosity, that's why the last Friday of every month is set aside for you to learn and develop.
We fly the whole team to somewhere amazing twice a year to connect and have fun.
Mini golf, hikes, super competitive Catan nights - we've done it all. Maybe you'll be at the next social?
All full-time members get at least 33 days of holiday, regardless of where they live.
We pride ourselves on making fast hiring decisions.
An initial video call.
Complete a technical exercise.
Interview (in person or remote)
Receive an offer!