Data Scientist Product Analytics
Meta
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
Overview
As a Data Scientist Product Analytics at Meta, you will shape the future of people-facing and business-facing products across a family of applications including Facebook, Instagram, Messenger, WhatsApp, and Oculus. Your technical skills, analytical mindset, and product intuition will help define experiences for billions of people and hundreds of millions of businesses.
Responsibilities
You will collaborate with cross-functional teams, including Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance, to solve product development challenges and drive impactful decisions.
- Define new opportunities for product impact.
- Influence product strategy and sales innovation.
- Apply quantitative analysis and experiment design.
- Establish KPIs and analyze key product metrics.
- Conduct exploratory analysis to discover trends.
Minimum Qualifications
- Bachelor's degree in Mathematics, Statistics or related field.
- 4+ years experience in SQL, Python, R, or similar tools.
- Proven experience in solving analytical problems using quantitative approaches.
Preferred Qualifications
Master's or Ph.D. in a quantitative discipline.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. With seminal apps and emerging augmented and virtual reality innovations, Meta continues to redefine digital connection.
Key skills/competency
- Data Science
- Product Analytics
- SQL
- Python
- R
- Quantitative Analysis
- Experiment Design
- KPI Setting
- Data Storytelling
- Cross-functional Collaboration
How to Get Hired at Meta
- Research Meta's culture: Understand their mission and latest news.
- Tailor your resume: Highlight data science and analytics skills.
- Emphasize projects: Detail quantitative analysis and KPIs.
- Prepare for technical interviews: Brush up on SQL, Python, and R skills.
- Show cross-functional teamwork: Provide examples of collaborative projects.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background