We are seeking to find: A Senior Economics Advertising Incrementality Measurements Scientist Professional.
Large Nationwide Business.
United States.
DESCRIPTION:
Do you want to lead the Ads industry and redefine how we measure the effectiveness of our clients Ads business? Are you passionate about causal inference, Deep Learning/DNN, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation?
If so, come join our client to be an Economist leader within our clients Advertising Incrementality Measurement science team!
Our clients work builds the foundations for providing customer-facing experimentation tools, furthering internal research & development on Econometrics, and building our advertising measurement offerings. Incrementality is a lynchpin for the next generation of our clients Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.
Key job responsibilities:
As an Economist leader within the Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing on key workstreams within our overall causal measurement science vision.
In particular, you can lead the development of experimental methodologies to measure ad effectiveness, and also build observational models that lay the foundations for understanding the impact of individual ad touchpoints for billions of daily ad interactions.
You will work on a team of Applied Scientists, Economists, and Data Scientists, alongside a dedicated Engineering team, to work backwards from customer needs and translate product ideas into concrete science deliverables.
You will be a thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable insights-from defining and executing hundreds of thousands of RCTs, to developing an exciting science R&D agenda.
You will be working with massive data and industry-leading partner scientists, while also interfacing with leadership to define our future vision. Your work will help shape the future of our clients Ads Team.
Daily Functions:
• Problems;
• Experience in building statistical models using R, Python, STATA, or a related software
• Experience in industry, consulting, government or academic research.
Interested? Please send your Microsoft Word CV to Jonny Scott-Slater, Vish Atari, Joey Polpero or Ashley Armstrong LLM and Muchen Chang.
E - uswwrecruitment@aol.com
We will contact you by email and arrange a preliminary discussion.
Discretion protection and secrecy are assured at all times.
We are currently invloved in seeking the above mentioned category of professional. We are speaking to candidates in the market using direct approach methodologies.