Data Scientist, Product Analytics

Meta; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Meta in Singapore seeks a senior Data Scientist to shape both user- and business-facing products. You will apply your analytics, statistical knowledge, and product intuition to a rich data environment, partnering with Product, Engineering, Research, and Data teams to drive impact.

You will lead data-driven initiatives, develop hypotheses, and use a variety of methods to test them, communicating insights clearly to influence strategic decisions across Meta's ecosystem.

Qualifications

• Bachelor's in Mathematics/Statistics or equivalent.
• 6+ years using SQL, Python, and/or R for analytics.
• 6+ years solving analytical problems and leading data-driven projects.
• Ongoing AI skill development and staying current with AI tech.
• Ability to integrate AI tools to optimize workflows and drive impact.
• Experience with responsible, ethical AI practices.

Responsibilities

• Shape product development using data to identify opportunities and challenges.
• Collaborate with cross-functional teams to define metrics and experiments.
• Tell data-driven stories and influence product strategy and investments.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's in Mathematics/Statistics or equivalent

Master's or Ph.D. in 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 varied set 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 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 influence your partners using clear, data-driven insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Qualifications

• 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 behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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)
• Master's or Ph.D. Degree in a quantitative field