Senior Data Scientist - Generative AI for Ads

Amazon

Seattle (WA)

On-site

USD 159,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

Amazon is seeking a Machine Learning Applied Scientist for the Ads Response Prediction team to advance real‑time ML services connecting shoppers with relevant ads across platforms. The role involves deep collaboration with engineers to ship end‑to‑end solutions and optimize the Sponsored Products and Brands ecosystem, leveraging large-scale data analytics and innovative modeling techniques.

The successful candidate will drive experimentation, model development and deployment, while improving

Qualifications

  • 5+ years of data querying languages (SQL), scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab) experience.
  • 4+ years of data scientist experience.
  • Bachelor's degree in a related field.

Responsibilities

  • Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities.
  • Develop scalable and effective machine‑learning models and optimization strategies to solve business problems.
  • Run regular A/B experiments, gather data, and perform statistical analysis.
  • Work closely with software engineers to deliver end‑to‑end solutions into production.
  • Improve the scalability, efficiency and automation of large‑scale data analytics, model training, deployment and serving.
  • Conduct research on new machine‑learning modeling to optimize all aspects of Sponsored Products and Brands business.

Skills

SQL
Python
R
SAS
Matlab

Education

Bachelor's degree

Tools

AWS QuickSight
Tableau
R Shiny

Job description

Amazon is seeking a Machine Learning Applied Scientist for the Ads Response Prediction team to advance real‑time ML services connecting shoppers with relevant ads across platforms. The role involves deep collaboration with engineers to ship end‑to‑end solutions and optimize the Sponsored Products and Brands ecosystem, leveraging large-scale data analytics and innovative modeling techniques.

The successful candidate will drive experimentation, model development and deployment, while improving

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