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
Full job description
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.
What you’ll do
- Develop machine learning models for audience targeting and campaign optimization
- Analyze large datasets to drive product insights
Requirements
- 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 Tie50 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
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