Data Scientist, Product Analytics

Meta; Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Data Scientist to enhance product analytics across its family of applications. In this role, you will leverage your analytical skills to influence product development and strategy, utilizing one of the richest data sets available. Collaborating with diverse teams, you will identify key opportunities and challenges, guiding product roadmaps with data-driven insights. This is a unique opportunity to be part of a world-class analytics community focused on innovation and career growth, shaping experiences for billions of users globally. If you're passionate about data and its impact on product evolution, this role is perfect for you.

Qualifications

• 4+ years of experience in quantitative analysis and product analytics.
• Proven expertise in SQL, R, or Python for data analysis.

Responsibilities

• Work with complex data sets to solve challenging problems.
• Partner with cross-functional teams to inform product strategy.

Skills

SQL

R

Python

Quantitative Analysis

Data Mining

A/B Testing

Education

Bachelor's degree in Mathematics or Statistics

Masters or Ph.D. Degree in a quantitative field

Job description

Join to apply for the Data Scientist, Product Analytics role at Meta

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.

Data Scientist, Product Analytics 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 Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis.
• Fluency in SQL, R, or Python.
• 4+ years experience leading product analytics and influencing product roadmap.
• 4+ years experience designing and running A/B tests.
• Experience understanding ecosystems, user behaviors and long-term product trends.
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications:

• Masters or Ph.D. Degree in a quantitative field.

About Meta:

Meta builds technologies that 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Technology, Information and Internet