The Marketing team focuses on building Facebook’s brand presence by improving user sentiment and product education. Our Marketing team seeks to understand how our users feel about our products so we can help people better understand Facebook’s intent and mission and guide our users to key features that can enrich their lives. The Decision Science team provides insightful analytics on consumer perception of the Facebook experience as a consultative partner to our Marketing team so we can better connect our users to Facebook and our products. We are seeking a talented analytics professional who thrives at the intersection of data, human behavior, marketing, product, and engineering. The ideal candidate will have a strong technical and analytical background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes. Strong time management and communication skills are critical.

Decision Scientist Responsibilities:

Partner with our marketing teams to make well-informed decisions backed by product usage data and survey results
Empathize with Facebook 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, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders clearly and effectively




Minimum Qualifications:

A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative roots and demands
5+ 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.)
Experience using R or Python or a similar scripting language for statistical modeling
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

Preferred Qualifications:

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, NumPy, Pandas
Basic experience or basic understanding of machine learning, data mining, and natural language processing

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

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