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This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.You will be expected to:
- Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.- Use analytical and predictive techniques to build models for optimizing targeting.
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.Seattle, WA, USA
- PhD, or Master's degree and 3+ years of practical machine learning experience
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals
- Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail.
- Experience using Unix/Linux
- 2+ years of practical machine learning experience
- Experience building machine learning models or developing algorithms for business application
- Experience in targeting, advertising, website optimization, recommender systems
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