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- Tasks: Analyse data to solve complex product challenges and influence strategy.
- Company: Join Meta, a leader in social technology and innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for career growth.
- Why this job: Shape the future of products used by billions and make a real impact.
- Qualifications: Bachelor's degree in a relevant field and experience with data analysis tools.
- Other info: Collaborative environment with a focus on skill development and immersive experiences.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Data Scientist, Product Analytics role at Meta. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with cross‐functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others.
You will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). You will use data and analysis to identify and solve product development's biggest challenges, influence product strategy and investment decisions with data, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Responsibilities- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Partner with Product, Engineering, and cross‐functional teams to inform, influence, support, and execute product strategy and investment decisions.
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
- 2+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
- 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviours & long‐term product trends, and leading data‐driven projects from definition to execution, including defining metrics, experiments, design, and communicating actionable insights.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Scientist, Product Analytics in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Meta on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable with SQL, Python, and statistical analysis. Practising common data science problems can help you shine during those tricky technical questions.
✨Tip Number 3
Show off your analytical mindset! Be ready to discuss past projects where you used data to drive decisions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Meta.
We think you need these skills to ace Data Scientist, Product Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data querying languages like SQL and Python, and showcase any relevant projects that demonstrate your analytical skills. We want to see how you can apply your technical expertise to solve real-world problems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about product analytics and how your background aligns with our mission at Meta. Don’t forget to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Analytical Mindset: In your application, be sure to highlight your analytical mindset. Discuss how you've used data to influence product strategy or solve complex problems in the past. We love seeing candidates who can think critically and use data to drive decisions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re serious about joining our team at Meta!
How to prepare for a job interview at Meta
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, and any statistical software like R. Brush up on your querying skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Understand Product Metrics
Familiarise yourself with key product metrics and how they influence product strategy. Be prepared to discuss how you've measured success in previous roles and how you would approach goal setting and forecasting for Meta's products. This shows that you can think strategically about data.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you've influenced decisions through data insights. This will demonstrate your ability to work effectively within a team.
✨Prepare for Problem-Solving Questions
Expect to tackle analytical problems during the interview. Practice explaining your thought process when approaching complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical mindset and problem-solving abilities.
