Decision Scientist

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Decision Scientist Responsibilities

• Collaborate with our marketing teams to drive informed decisions using product usage data and survey results.
• Understand the attitudes, emotions, and opinions of Meta product users to enhance product awareness and foster meaningful interactions on the platform.
• Scope, design, execute, measure, and enhance the impact of our marketing efforts globally and on our business.
• Translate data insights into actionable recommendations that enhance brand sentiment, user growth and engagement, and marketing effectiveness.
• Develop quantitative analyses, tools, ad hoc reports, and models to support marketing decision-making, focusing on areas such as retention, sentiment, lifetime value, messaging, promotions, usage, and engagement.
• Create data visualizations including charts, infographics, and dashboards to effectively communicate findings and recommendations to internal stakeholders.

Minimum Qualifications

• Requires a Master’s degree (or foreign equivalent) in Marketing Intelligence, Marketing, Economics, Mathematics, Analytics or related field and 3 years of work experience in job offered or in a data-related occupation.
• Requires a 3 years of experience in the following:
• 1. Programming languages Python, R, and PHP
• 2. Database technologies - SQL, Hadoop, and Hive
• 3. Statistical analysis methods including linear regression analysis, decision analysis, and statistical modeling
• 4. Data manipulation for building datasets
• 5. Statistical modeling and data analysis techniques like significance testing, regression modeling, and sampling theory
• 6. Creating data visualizations using tools Dplyr, Rstudio, NumPy, or Pandas
• 7. Developing data pipelines
• 8. Writing production code for automated models
• 9. Causal Inference Modeling
• 10. Longitudinal time-series prediction modeling or other prediction models
• 11. Machine learning, data mining, and natural language processing.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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.
$190,120/year to $235,400/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. You may view our Equal Employment Opportunity notice here.
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 accommodations-ext@fb.com.