London, UK (Hybrid)

£60,000 - £80,000 + equity

We’re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.

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!

Day to day

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 be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
You’ll work closely with our product, engineering, marketing and user acquisition teams
You’ll be a proactive self-starter, driving innovation with a product focus
You’ll be working on our production ML models driving product personalization and recommendations
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
You’ll work alongside the data analysts and data engineer in the data team to clean, transform, and build new datasets

Requirements

At least 5+ years of experience in a Data Scientist, Applied Scientist, or a deeply analytical Product-focused role
Strong Python and SQL knowledge
Experience in a production environment – version control, virtual environments etc
Strong knowledge of common statistical methods
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
Ability to work flexibly, be organized and manage multiple projects at the same time
Ability to work collaboratively in cross-functional teams
Passionate about solving complex and challenging data problems
Experience in designing and conducting A/B experiments

Nice to have

Experience with recommendation systems
Familiarity with MLOps tools/practices
Experience in consumer-facing mobile-first

Muzz

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