Data Scientist, Product Analytics

Meta Careers; United States; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Meta is seeking a Data Scientist to shape product development across its family of apps, using data to identify opportunities and guide prioritization. You will collaborate with product, engineering, research, and other teams to translate insights into measurable impact across Facebook, Instagram, Messenger, WhatsApp, and more.

You will lead analytics initiatives, develop hypotheses, and apply rigorous methods to test them, then communicate insights to stakeholders to influence strategy and

Qualifications

• Bachelor's degree in CS/CE or related field, or equivalent practical experience.
• Minimum 6 years analytics experience (4 years with PhD).
• Bachelor's degree in Mathematics or Statistics or related field, or equivalent practical experience.
• Experience with SQL, Python, and/or R for data analysis.
• Master's or PhD in a quantitative field.
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
• Experience implementing responsible, ethical AI practices (bias mitigation, quality reviews).
• Ongoing AI skill development and staying current with emergent technologies.

Responsibilities

• Shape product development using data to identify opportunities and guide prioritization.
• Collaborate with cross-functional partners to define goals and measure impact.
• Tell data-driven stories and influence stakeholders with clear insights.

Skills

SQL

Python

R

AI tools

Responsible AI

Education

Bachelor's degree in CS/CE or related field

Bachelor's degree in Mathematics/Statistics or related field

Master's or PhD in a quantitative field

Job description

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.

• Bachelor's degree in Computer Science, Computer Engineering, 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.)
• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Master's or Ph.D. Degree in a quantitative field
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies