Applied Scientist, Pricing Optimization - ML at PlanetScale

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A leading e-commerce company in Seattle is seeking an Applied Scientist to develop pricing strategies using multi-modal datasets. Candidates should possess a PhD or Master's degree with 4+ years of experience in machine learning, predictive modeling, and strong programming skills in languages like Java, C++, or Python. This role offers competitive compensation and comprehensive benefits, such as health insurance and 401(k) matching, aimed at driving significant business impact.

Qualifications

• PhD, or Master's degree and 4+ years of relevant experience.
• 2+ years of hands-on predictive modeling and large data analysis experience.
• Experience solving business problems with machine learning.

Responsibilities

• Understand and develop strategies for competitive pricing techniques.
• Partner with product and engineering teams to deploy models.
• Establish mechanisms to stay updated on scientific advancements.

Skills

Machine learning

Predictive modeling

Cross-functional collaboration

Business acumen

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Java

C++

Python

Job description

A leading e-commerce company in Seattle is seeking an Applied Scientist to develop pricing strategies using multi-modal datasets. Candidates should possess a PhD or Master's degree with 4+ years of experience in machine learning, predictive modeling, and strong programming skills in languages like Java, C++, or Python. This role offers competitive compensation and comprehensive benefits, such as health insurance and 401(k) matching, aimed at driving significant business impact.