Decision Scientist

(Menlo Park, CA)

Facebook’s mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we’re building a different kind of company that helps billions of people around the world connect and share what matters most to them. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to make the world more open and accessible. Connecting the world takes every one of us—and we’re just getting started.

The Marketing team focuses on building Facebook brand presence, improving user sentiment and product education. It is an exciting time at Facebook Marketing because understanding people and connecting them to Facebook and our products (and vice versa) is crucial for future growth. We are seeking a talented analyst who thrives at the Intersection of data, marketing, product and engineering. The successful candidate will support all things marketing at Facebook to help us make better decisions. The ideal candidate will have strong technical and analytical background – with a hunger to make significant business impact by owning and driving business outcomes. Strong time management and communication skills are critical, and a passion for Facebook is a must.

Responsibilities

  • Partner with marketing, research and product organizations to design, execute, measure and improve the impact of marketing efforts
  • Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness
  • Develop quantitative analysis, ad hoc reports, and models to support marketing decision making. Analysis areas might include (but not limited to): retention, lifetime value, messaging, promotions, usage and engagement.
  • Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to internal stakeholders.
  • Design and implement reporting dashboards that track key metrics and performance trends, and provide actionable insights to marketing leadership.
  • Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral & attitudinal outcomes.

Minimum Qualifications

  • 5+ years of experience in data analysis.
  • Statistical and data analysis/modeling skills (e.g. significance testing, regression modeling, etc.)
  • Direct experience working with data-sets
  • Experience using SPSS, SAS, R, Matlab, or similar statistical packages
  • Experience with Python, Hadoop/Hive, & SQL required
  • Ability to thrive in an environment and collaborate with a different individuals and organizations
  • Communication skills.

Preferred Qualifications

  • Master’s or Doctorate degree in psychology, statistics, economics, behavioral or social science or a related quantitative field
  • MBA or Management consulting experience

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