Muzz

Marketing data scientist for mobile apps

In short

Senior data scientist role on Muzz's data team, owning marketing measurement and growth modeling (automated campaign alerting, signal engineering, MMMs) for the world's largest Muslim dating app. Requires 4+ years as a Data/Applied Scientist or marketing-focused analytical role, strong Python/SQL, and solid grounding in predictive modelling, experimental design and causal inference. Hybrid role based in London, offering £55,000-£75,000 plus equity.

About the role
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!
Responsibilities
•You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
•You'll own measurement in marketing, assessing the performance of global marketing activities and unlocking growth opportunities to scale
•You'll work closely with our marketing leaders, growth managers, product managers to create marketing strategies through data-driven insights and impactful analysis
•You'll be working on building models to support the UA team which includes – automated campaign alerting, signal engineering and MMMs
•You'll be exploring new ideas and optimization projects, and building MVPs to prove value
•You'll be diving into a range of data across marketing and product to solve our highest impact and complex challenges
Requirements
•At least 4+ years of experience in a Data Scientist, Applied Scientist, or a deeply analytical Marketing-focused role
•Strong Python and SQL knowledge
•Strong grounding in the statistical methods behind predictive modelling and forecasting
•Strong grounding in experimental design and causal inference (e.g. geo holdouts, synthetic control, power analysis)
•Excellent written and verbal communication skills and presenting to non-technical audiences
•Commercial mindset with the ability to harness customer insights to optimise our marketing and products
•Passionate about solving complex and challenging data problems
•Experience working in data-focused marketing teams
Nice to have
•Experience with GCP platform – BigQuery/VertexAI
•Experience in consumer-facing mobile-first products
•Hands-on experience with MMMs
•Understanding of mobile app attribution (MMPs, SKAN) and its limitations
•Experience with retention or LTV prediction for ad platform optimisation
Conditions
•£55,000 - £75,000 + equity
•Full-time
•Private healthcare cover (UK)
•Meaningful equity
•A day off per month to learn
•International travel
•Regular socials
•All full-time members get at least 33 days of holiday, regardless of where they live

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