Data Scientist

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This range is provided by Muzz. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Muzz is the world’s largest Muslim dating and marriage app. We’ve got over 15 million members and have helped more than 700,000 couples get married. We’re on our way to become the first $1 billion Muslim tech brand – but we need your help!

We’re 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.

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
• 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 products

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst

Industries

• Software Development