Marketing Decision Scientist
Menlo Park, CA | New York City
- 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.
- 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.
- 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).
- Knowledge of consumer and/or special population marketing strategies and measurement (e.g. brand and product sentiment, brand affinity, and consumer segmentation).
- Interest for marketing strategy and problem solving.
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.
Tags: Causal inference Computer Science Econometrics Economics Engineering Market research Physics Python R Research SQL Statistical modeling Statistics VR
Perks/benefits: Career development Equity Health care Salary bonus
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