Media.net - Lead Data Scientist - Artificial Intelligence / Machine Learning

About the job :

Role : Senior Data Scientist / Lead Data Scientist

About Media.net :

Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue.

Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry-standard in ad buying for digital platforms.

The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search.

Media.nets U.S. HQ is based in New York, and the Global HQ is in Dubai.

With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services.

Data Science is at the heart of Media.net.

The team uses advanced statistical and machine learning and deep learning models, large scale distributed computing along with tools from mathematics, economics, auction theory to build solutions that enable us to match users with relevant ads in the most optimal way thereby maximizing revenue for our customers and for Media.net.

Some of the challenges the team deals with :

• How do you use information retrieval, machine learning models to estimate click through rate and revenue given the information regarding the position of the slot, user device, location and content of the page.
• How do you scale the same for thousands of domains, millions of urls?
• How do you match ads to page views considering contextual information? How do you design learning mechanisms to continuously learn from user feedback in the form of clicks and conversions? How do you deal with the extremely sparse data? What do you do for new ads and new pages? How do we design better explore-exploit frameworks? How do you design learning algorithms that are fast and scalable?
• How do you combine contextual targeting with behavioral user-based targeting?
• How do you establish a unique user identity based on multiple noisy signals so that behavioral targeting is accurate?
• Can you use NLP to find more genetic trends based on the content of the page and ads?

What is in it for you ?

Who should apply for this role ?

Bonus Points :

(ref : hirist.tech)