Senior ML Scientist: Transportation Network Optimization

Socket.dev; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon is seeking a Sr. Applied Scientist to invent and build machine learning models that improve how its transportation network plans and operates.

You will design, develop, and productionize forecasting, predictive models, and optimization algorithms impacting billions in business value. You’ll own prediction models for trailer imbalance forecasting and safety stock optimization, collaborating with product, engineering, and operations teams.

Qualifications

• 5+ years of building ML models or algorithms for business applications.
• PhD or Master’s with 10+ years of research/industry experience as described.
• Proficiency with C/C++, Python, Java or Perl.

Responsibilities

• Design and develop machine learning, forecasting, and other prediction models.
• Build models from prototype to production-level systems.
• Translate business problems into modeling approaches with product/engineering partners.
• Influence key business decisions through rigorous modeling and analysis.
• Communicate results to scientific and business audiences.

Skills

Machine learning

Data analysis

Mathematical modeling

Communication

Education

PhD in engineering/CS/ML/robotics/OR

Master's + 10+ years experience

Tools

C/C++

Python

Java

Perl

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon is seeking a Sr. Applied Scientist to invent and build machine learning models that improve how its transportation network plans and operates.

You will design, develop, and productionize forecasting, predictive models, and optimization algorithms impacting billions in business value. You’ll own prediction models for trailer imbalance forecasting and safety stock optimization, collaborating with product, engineering, and operations teams.