Drimva

Amazon

Applied Scientist II

$143K–$193K

Arlington, VA · Full-time · Posted Oct 26, 2026

Experience
3+ years of building models for business application experience.
Education
Preferred: Master's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field.

About the job

Build optimization models and AI/ML systems that improve global hourly hiring and recruitment processes under cost, capacity, and regulatory constraints.

What you'll do

  • Design optimization algorithms and models for job posting timing, candidate management, and recruitment coordination.
  • Develop conversion models, demand forecasts, and optimization frameworks; run experiments to evaluate their impact.
  • Implement models in production-quality Python code and collaborate on integrating them into automated hiring pipelines.

What they ask for

  • 3+ years of building models for business application experience.
  • Programming experience in Java, C++, Python or a related language.
  • Experience building machine learning models or developing algorithms for business application, and solving business problems with machine learning, data mining, and statistical algorithms.
  • Experience designing experiments and statistically analyzing results; experience with deep learning architecture design, training, optimization, and model pruning.

Nice to have

  • Experience in professional software development.
  • Master's degree or above in a listed quantitative field, or equivalent quantitative field; experience applying theoretical models in an applied environment.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, machine learning, survival analysis, causal inference, stochastic dynamic programming, A/B test

AI focus

Develop AI/ML and optimization systems for hiring demand forecasting, candidate management, recruitment coordination, and automated hiring pipelines.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)