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- Tasks: Join a dynamic team to analyse data and drive product innovation.
- Company: Muzz, the world's largest Muslim dating app with 15 million members.
- Benefits: Competitive salary based on skills, flexible work environment, and growth opportunities.
- Why this job: Shape the future of data science while making a real impact on user experience.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and a commercial mindset.
- Other info: Collaborative culture with exciting projects and a chance to explore new technologies.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Scientist role at Muzz. 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. 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
Data Scientist in England employer: Muzz
Contact Detail:
Muzz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Muzz on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your data science expertise, especially those that demonstrate your commercial mindset and problem-solving abilities. Bring these up during interviews to impress!
✨Tip Number 3
Be ready to discuss your thought process! When you're asked about your experience with A/B testing or ML models, explain not just what you did, but why you did it and the impact it had. This shows your strategic thinking.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Muzz team.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Muzz. Highlight your experience with Python, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your entrepreneurial flair aligns with Muzz's mission. Let us know how you can help shape the future of our data science team.
Showcase Your Communication Skills: Since you'll be presenting insights to non-technical audiences, make sure to demonstrate your excellent written communication skills in your application. We love candidates who can simplify complex data concepts for everyone to understand!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Muzz
✨Know Your Numbers
As a Data Scientist, you'll be expected to love numbers. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. Prepare examples that showcase your analytical skills and how they’ve led to actionable insights.
✨Show Your Commercial Mindset
Muzz is looking for someone with a commercial mindset. Think about how your data-driven decisions have impacted product optimisation or marketing strategies in previous roles. Be prepared to share specific instances where your insights led to measurable business outcomes.
✨Collaborate Like a Pro
This role involves working closely with various teams. Highlight your experience in cross-functional collaboration during the interview. Share stories that demonstrate your ability to communicate complex data findings to non-technical audiences and how you’ve worked together to drive innovation.
✨Be Ready to Dive Deep
Expect questions about your experience with A/B testing and building MVPs. Prepare to discuss how you've tackled complex data challenges in the past. Show your enthusiasm for exploring new ideas and technologies, and be ready to suggest how you could apply this at Muzz.