Marketing Decision Scientist
Meta

Menlo Park, California

Posted in Retail

$0.00 - $100.00 per hour


This job has expired.

Job Info


To succeed, we need to measure and understand the impact our teams are having for the people and communities who use our apps and services. We're looking for people with strong quantitative research skills to help in this effort. The ideal candidate will join an exciting team of social scientists who work across all of Meta's products oversee the full lifecycle of quantitative and qualitative survey market research - from designing, to executing, to then telling a compelling, executive-ready story from the data collected. They will also be highly familiar with marketing strategy and measurement, including brand, sentiment, and product usage full funnel measurement among consumers.

Marketing Decision Scientist Responsibilities:

  • Help shape the team's research agenda and manage research projects from end-to-end.
  • Collaborate with Consumer and Business Marketing research teams to define relevant questions about survey methodology and quantitative measurement.
  • Deploy appropriate quantitative methodologies to answer those questions.
  • Develop novel approaches where traditional methods won't do.
  • Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs.
  • Deliver insights and recommendations clearly to relevant audiences.


Minimum Qualifications:

  • Bachelor's or Master's degree and 5+ years experience or Ph.D. with 1+ year experience in the private sector answering social / consumer behavior questions.
  • Track record of leading projects end to end in survey methodology, online panel research, non probability based sampling, and market research - as a primary client, researcher, or a vendor manager.
  • Skilled at communicating analyses and results to both technical and non-technical audiences.
  • Experience using SQL and using data manipulation and analysis software such as R, Python etc. for statistical modeling.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.


Preferred Qualifications:

  • Degree in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics).
  • Expertise in quantitative and survey research methodologies (e.g., bias correction for surveys, survey sampling and design, regression modeling, causal inference from a survey outcome, panel recruitment, designing and analyzing longitudinal surveys, behavioral data analyses).


About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 accommodations-ext@fb.com.


This job has expired.

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