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Amazon is hiring: Applied Scientist, Amazon Advertising in Seattle

Amazon, Seattle, WA, United States, 98127

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Job ID: 2865680 | Amazon.com Services LLC

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

As an Applied Scientist on this team, you will:

  1. Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
  2. Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
  3. Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
  4. Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
  5. Run A/B experiments, gather data, and perform statistical analysis.
  6. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
  7. Research new and innovative machine learning approaches.

BASIC QUALIFICATIONS

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

  • Experience using Unix/Linux
  • Experience in professional software development

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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