Data Scientist II — ML & Personalization at Scale

Amazon Science; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on payments

401(k) matching

Paid time off

Job summary

Amazon Science in Seattle is seeking a Data Scientist to solve customer-facing problems at scale. You will apply statistical analysis, machine learning, and data mining to learn and infer shopping patterns, working with engineers, scientists, PMs, and designers.

The role focuses on scalable ML solutions for recommendations and product discovery, with a strong emphasis on reducing returns and improving customer experience. Strong coding skills and experience with GenAI are valued.

Qualifications

• 3+ years of data querying languages (e.g. SQL) or scripting languages (e.g. Python) or statistical software (e.g. R, SAS, Matlab) experience.
• 2+ years of data scientist experience.
• 3+ years of machine learning/statistical modeling and data analysis experience.
• Experience applying theoretical models in an applied environment.
• Bachelor's degree in a relevant field.

Responsibilities

• Collaborate with applied scientists, data engineers, product managers, UX designers, and business partners to answer complex problems via data analysis.
• Analyze complex datasets from diverse sources to derive insights, build segmentation models, and improve customer experience.
• Communicate findings effectively to cross-functional teams and senior leaders to earn trust.
• Multi-task across gap analysis, data integration, business intelligence, and presenting results to stakeholders.

Skills

SQL

Python

R/SAS/Matlab

Machine Learning

Statistical Modeling

Education

Bachelor's degree

Job description

Amazon Science in Seattle is seeking a Data Scientist to solve customer-facing problems at scale. You will apply statistical analysis, machine learning, and data mining to learn and infer shopping patterns, working with engineers, scientists, PMs, and designers.

The role focuses on scalable ML solutions for recommendations and product discovery, with a strong emphasis on reducing returns and improving customer experience. Strong coding skills and experience with GenAI are valued.