Data Scientist, Product Analytics

Meta; Seattle (WA); On-site; USD 173,000 - 242,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where your analytical skills will shape the future of products used by billions. In this role, you'll leverage one of the richest data sets globally, collaborating with diverse teams to solve complex challenges and drive impactful product strategies. Your expertise in data analysis, statistical methods, and storytelling will be crucial in guiding product development and influencing key decisions. This innovative firm is dedicated to skill development and career growth, offering a dynamic environment where your contributions will significantly impact the next evolution of social technology.

Benefits

Bonus

Equity

Comprehensive Benefits

Skill Development Opportunities

Qualifications

• 6+ years of experience in analytics with a focus on data-driven product development.
• Strong background in statistics and quantitative analysis techniques.

Responsibilities

• Analyze large data sets to solve complex product challenges using statistical methods.
• Collaborate with cross-functional teams to influence product strategy through data insights.

Skills

Data Analysis

Statistical Analysis

Data Mining

Hypothesis Testing

Data Storytelling

Quantitative Analysis

Education

Bachelor's Degree in Mathematics or Statistics

Master's or Ph.D. in a quantitative field

Tools

SQL

Python

R

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 diverse 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 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 diverse 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

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. 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.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

1. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
2. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
3. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

Preferred Qualifications

1. Master's or Ph.D. Degree in a quantitative field.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Locations: Data Center

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.

$173,000/year to $242,000/year + bonus + equity + benefits

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.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [e-mail].