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- Tasks: Use data to shape product development and solve complex challenges.
- Company: Join Meta, a leader in tech innovation and analytics.
- Benefits: Competitive salary, career growth, and a vibrant work culture.
- Why this job: Make an impact on products used by billions worldwide.
- Qualifications: Bachelor's degree in a relevant field and 6+ years of analytical experience.
- Other info: Collaborative environment with opportunities for skill development.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Scientist at Meta, 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). 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 a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, 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.
Product leadership:You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics:You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence:You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Responsibilities:- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- 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.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
- 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
- 6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviours.
Data Scientist, Product Analytics employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Product Analytics
✨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 data storytelling skills. Remember, it’s not just about crunching numbers; it’s about telling a compelling story with them. Practice explaining complex data insights in simple terms.
✨Tip Number 3
Show off your analytical toolkit! Be ready to discuss specific methodologies and tools you’ve used in past projects. Highlight how these experiences can directly benefit Meta’s product development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Scientist, Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience with data querying languages, statistical software, and any relevant projects that showcase your analytical prowess.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story! Use it to explain why you're passionate about product analytics and how your background makes you a perfect fit for the team at Meta. Don’t forget to mention specific examples of your work!
Showcase Your Analytical Skills: In your application, be sure to include examples of how you've used data to solve complex problems. Whether it's through case studies or past projects, we want to see your analytical mindset in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 mentioned in the job description. Brush up on your 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 a strong candidate.
✨Tell a Data Story
Prepare to present your analytical findings in a way that tells a compelling story. Think about how you can communicate complex data insights clearly and effectively. Use examples from your experience where your data-driven recommendations led to impactful decisions.
✨Understand Product Ecosystems
Familiarise yourself with the products Meta offers and their ecosystems. Be ready to discuss how data influences product development and user behaviour. Showing that you understand the broader context of your role will impress your interviewers.
✨Collaborate and Influence
Think of examples where you’ve successfully collaborated with cross-functional teams. Be prepared to discuss how you’ve influenced product strategy through data insights. Highlighting your ability to work with others and drive decisions will showcase your fit for the role.
