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Consumer Ads Quantitative Researcher

Company:
CoreTechs, Inc.
Location:
Menlo Park, California, United States
Posted:
December 01, 2016
Description:

Title: Consumer Ads Quantitative Researcher

Duration: 12/05/2016 - 05/05/2017 (5 months)

Location: 1 Hacker Way, 105201 Menlo Park, CA 94022

Hours Per Week: 40.00

Hours Per Day: 8.00

Days Per Week: 5.00

Description:

• As Facebook moves its ads model to the broader family of products there has been a significant increase in the need for research that sits at the intersection of policy, consumer value and ads product expansion. The use of Facebook tools to power off-Facebook advertising means we must provide high-quality ad experiences with transparency and control to more people off Facebook. We need to understand how consumers perceive our ads in relation to other publishers. As a company, we are committed to continually improving our technology to serve better, more relevant ads, and we need a signal on the credibility of our quality narrative with consumers.

Duties:

• Collaborate with Senior leadership to identify key concepts required for measuring consumer sentiment around customized ads

• Partnership with Consumer teams to understand best practices

• Build a global survey and sampling mechanism to conduct a sentiment metric.

• Develop an analysis framework that supports the conceptual validity of the metric.

• Build global metric dashboards and share with stakeholders to monitor the metric

• Build a few product-level surveys and sampling tools to conduct a sentiment metrics.

• Build dashboards and share with product stakeholders.

• Collaborate with other Consumer Ads Researcher to deliver meaningful metrics to the Transparency & Control team.

• Manage research of Transparency & Control sentiment.

• Partner with data science, product management, and other stakeholders.

Requirements:

• Minimum 2 years relatable experience

• Experience working with stakeholders, developing research agendas, conducting and analyzing data

• Prior experience conducting statistical tests such as factor analysis and analysis of variance

• Must have experience using R/Stata/SPSS

• Master's Degree is required