Data Scientist, PAR
full-time•Seattle, New York, Menlo Park•$177k - $247k
About this role
Meta’s Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we’re driving the transformation of Meta’s core experiences—across Facebook, Instagram, WhatsApp, Threads, and beyond—by applying cutting-edge research to real-world products at massive scale.
We are looking for a Data Scientist to join our PAR organization where you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world, by applying your technical skills, analytical mindset, and product intuition.
In this role, 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.
$177,000/year to $247,000/year + bonus + equity + benefits
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
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Preferred Qualifications
- Master's or Ph.D. Degree in a quantitative field
$177,000/year to $247,000/year + bonus + equity + benefits
What you'll do
- The Data Scientist will work with large and complex data sets to solve challenging problems and apply technical expertise to develop strategies for products. They will partner with cross-functional teams to inform and influence product strategy and investment decisions.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
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Frequently Asked Questions
What does Meta pay for a Data Scientist, PAR?
Meta offers a competitive compensation package for the Data Scientist, PAR role. The salary range is USD 177k - 247k per year. Apply through Clera to learn more about the full compensation details.
What does a Data Scientist, PAR do at Meta?
As a Data Scientist, PAR at Meta, you will: the Data Scientist will work with large and complex data sets to solve challenging problems and apply technical expertise to develop strategies for products. They will partner with cross-functional teams to inform and influence product strategy and investment decisions..
Is the Data Scientist, PAR position at Meta remote?
The Data Scientist, PAR position at Meta is based in Seattle, Washington, United States and New York, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Scientist, PAR position at Meta?
You can apply for the Data Scientist, PAR position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.