Data Scientist

machine learning audience targeting campaign optimization data analysis Python R statistical modeling ML AI

Not specified

Seniority

Senior

Not specified

Location

Austin, United States;
Remote, United States

Develop machine learning models for audience targeting and campaign optimization. Analyze large datasets to drive product insights. Requirements:
PhD/MS in relevant field, proficiency in Python and R, experience with ML/AI frameworks, and statistical modeling.

• Develop machine learning models for audience targeting and campaign optimization
• Analyze large datasets to drive product insights

• PhD/MS in relevant field
• Experience with ML/AI frameworks
• Statistical modeling

Python R ML frameworks AI frameworks

Moving Walls is a media technology group with a presence across four continents and seven markets. The Company operates Moving Audiences, a US-patented multi-sensor approach to location-based media measurement. Today, Moving Walls processes more than 10 billion data points and measures more than 100,000 media sites across the globe. Through measuring physical locations and people movement, this powers Planning, Buying, Verification, and Content Delivery capabilities for location-based media like billboards, digital signage, and transit media.

In 2017, APAC CIO Outlook listed us as one of the “10 Most Promising Digital Technology Solutions Providers”. Moving Walls is also a Tie
50 winner, a listing of 50 most enterprising startups globally. Recently, we were identified by Unilever as one of the most innovative companies in the region.

Technology, Information and Media

Related opportunities based on specialty and working model so candidates can keep momentum.

machine learning applied scientist research