Decision Scientist - Metaverse

Responsibilities

• Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results
• Empathize with Meta's users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform
• Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business
• Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness
• Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): retention, sentiment, lifetime value, messaging, promotions, usage, and engagement
• Produce data visualization such as charts, info graphic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively

• A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands
• 3+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, consumer sentiment or perception, and outbound online marketing campaign evaluation
• Experience finding, cleaning, and manipulating data to build data sets
• Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)
• Advanced experience using R or Python or a similar scripting language for statistical modeling
• Advanced experience with SQL, Hive, Presto, Hadoop, or other data querying languages
• Experience communicating with cross-functional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• An MBA or Master's or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands
• Management consulting experience or a similar career requiring one to present data-driven insights to business audiences
• Experience developing data pipelines
• Experience writing production code for automated models
• Experience using open-source statistical packages such as Dplyr, Rstudio, Num Py, Pandas
• Basic experience or basic understanding of machine learning, data mining, and natural language processing

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

$133,000/year to $185,000/year + bonus + equity + benefits

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