Quantitative Researcher Agency Facebook New York

Job Description: • 2-minute read •
The Marketing Science Ads Research team is a research and analytics group focused on measuring the value and effectiveness of advertising on Facebook. In service of this goal, the team conducts research on the Facebook advertising platform, designs custom research to improve the ability to measure value on and off of Facebook, and helps advertisers and agencies align with improving the quality of their planning, creative, and measurement. With our ecosystem partners, we seek to answer key industry questions such as how Facebook advertising works in conjunction with other media channels such as Paid Search and how to measure Facebook within the wider media mix.

We seek an expert in research methods and inferential statistics to identify, design and execute research projects that provide answers to questions focused on advertising effectiveness for agencies. This research is instrumental in informing Facebook’s advertising product strategy, advertising strategies recommended to Facebook clients, and new measurement platforms used across the advertising industry. The ideal candidate will have a strong background in data science, research methods and statistics. This position is full-time and based in New York, NY.
Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to measure and communicate the effectiveness of online advertising
Assess the validity and rigor of new data sources and approaches in their use toward applied research audience insights
Proactive creation of custom advertising research driven to show value, insights, or missed opportunities
Oversee data-focused initiatives already in place and being developed, and drive developments in the quality of these initiatives
Partner closely with advertisers, agencies and other internal teams for joint project collaboration
Package these insights effectively for both internal and external audiences
Requirements

2+ years in a quantitative field, such as consulting, market research, or advanced Degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field
Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness
A thorough understanding of applied statistics including sampling approaches, experiments, causal modeling, and data mining techniques
Experience building analytical models and working with large structured and unstructured data sets
Experience in working with advertising technology platforms (e.g. DoubleClick, Atlas, etc..)
Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (R or Python), with ability to code (e.g., PHP) a plus
Programming skills, suitable for developing scalable research prototypes within a Hive and Linux environment
Ability to communicate complex analysis and results to any audience

Send To A Friend