Senior Applied Scientist - Advertising Incrementality

Amazon Science

New York (NY)

On-site

USD 172,000 - 223,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Science is seeking a science leader in the Advertising Incrementality Measurement team to advance causal inference, Deep Learning, and AI. You will translate data into customer journey insights, work with product managers to define business questions, and collaborate with engineers to productionize scalable measurement solutions.

The role emphasizes cross-functional collaboration, rigorous model development, and contributing to a growing science community at Amazon.

Qualifications

  • 3+ years building models for business applications.
  • PhD or Master’s with 4+ years CS/CE/ML.
  • Experience in Java, C++, Python.
  • Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

  • Apply ML/DL, AI, and causal modeling to develop models of advertising impact.
  • Own end-to-end development of novel scientific models for business needs.
  • Improve and simplify existing solutions and frameworks.
  • Review and audit modeling processes and results for junior and senior scientists.
  • Align scientific developments with business strategy with leadership.
  • Identify new opportunities suggested by data insights.
  • Bring a department-wide perspective into decision making.
  • Document scientific research for sharing with the science community at Amazon.

Skills

Programming: Java/C++/Python
ML & causal inference
Big data analytics

Education

PhD
Master's + 4+ years CS/CE/ML

Tools

Unix/Linux
Software development

Job description

Amazon Science is seeking a science leader in the Advertising Incrementality Measurement team to advance causal inference, Deep Learning, and AI. You will translate data into customer journey insights, work with product managers to define business questions, and collaborate with engineers to productionize scalable measurement solutions.

The role emphasizes cross-functional collaboration, rigorous model development, and contributing to a growing science community at Amazon.

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