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Facebook Head of Marketing Decision Science in Menlo Park, California


WhatsApp is a fast, simple and reliable way to talk to anyone in the world. More than 1.5 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. WhatsApp is not only free but also available on multiple mobile devices and in low connectivity areas — making it accessible and reliable wherever you are. It's a simple and secure way to share your favorite moments, send important information or catch up with a friend. WhatsApp helps people connect and share no matter where they are in the world.

Focusing on driving WhatsApp’s product strategy and brand, the WhatsApp Marketing team invests in growing awareness and usage of WhatsApp’s most loved and useful features, and maintaining WhatsApp’s trusted brand. We're seeking a leader for Marketing Decision Science who will build and lead a team of Decision Scientists responsible for harnessing and translating strategic insights into actionable marketing plans and measuring the ROI of all marketing initiatives. This role will help define consumer problems, define goals and metrics, help develop marketing strategies and plans, build learning and measurement plans, design and execute experimentation, and optimize marketing to efficiently achieve our business objectives. The ideal candidate will also have a strong stakeholder management and leadership track record, proven hands-on experience in data manipulation and a hunger to make significant business impact by owning and driving business outcomes.

This is a full-time position based with the WhatsApp team at Facebook HQ in Menlo Park, California and will report to WhatsApp’s Global Head of Marketing.

Required Skills:

  1. Hire and develop a team of Data/Decision scientists

  2. Partner with marketing, research and product organizations to drive brand and product strategies, especially at the leadership level

  3. Develop WhatsApp's methodology for understanding and measuring marketing effectiveness on business objectives

  4. Drive the development of 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, perceptions, usage and engagement

  5. Design and execute experiments to achieve marketing objectives and drive marketing effectiveness

  6. Partner with Engineers and Engineering leadership to define data and tracking requirements for marketing initiatives

  7. Translate data insights into actions and recommendations. Core focus will be on marketing and communications strategy and plans, at both a brand and product level, but will also include new product development

  8. Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to stakeholders and leadership

  9. Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral & attitudinal outcomes

Minimum Qualifications:

  1. 12+ years of experience with data analytics

  2. 6+ years of experience leading analytics or data science teams

  3. Proven experience in leading data-driven projects from definition to execution, driving and influencing product and marketing roadmaps

  4. Statistical and data analysis/modeling experience (e.g. significance testing, regression modeling, etc.)

  5. Direct experience working with large data-sets

  6. Experience using SAS, R or similar statistical packages

  7. Experience with Python, Hadoop, Hive & SQL

  8. Presentation experience and a proven track record of using insights to influence executives and colleagues

  9. Experience communicating both technical product language and brand/product marketing language

  10. Knowledge of survey research methods and considerations

Preferred Qualifications:

  1. Master's or Doctorate degree in psychology, statistics, economics, behavioral or social science or a related quantitative field, or MBA or management consulting experience

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at