Decision Scientist

Requires a Master’s degree (or foreign degree equivalent) in Marketing Intelligence, Marketing, Economics, Mathematics, Analytics, or a related field and 36 months of experience in the job offered or in a data-related occupation
Requires 36 months of combined and deduplicated experience in: 1. Programming languages such as Python, R, and PHP 2. Database technologies like 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 like Dplyr, Rstudio, NumPy, Pandas, etc 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. Experience of machine learning, data mining, and natural language processing

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.

No preferred qualifications provided.