Data Scientist II: End-to-End Experimentation & Impact

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Parental leave

Job summary

Amazon is seeking a Data Scientist to own measurement, modeling, and experimentation across its drone-delivery service in Seattle. You will design experiments, build models, and translate findings into actionable recommendations to improve customer experience as the business scales.

You will collaborate with data engineers, scientists, and business stakeholders to turn complex data into clear decisions, with room to explore new methods and shape how metrics are measured and improved.

Qualifications

• 2+ years in data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• Experience applying theoretical models in an applied environment

Responsibilities

• Design and execute data science solutions using a range of methodologies—including machine learning, statistical modeling, and generative AI techniques to address business problems where the approach is not immediately clear.
• Acquire, transform, and validate large, evolving operational and customer datasets dive deep to investigate anomalies and data quality; and partner with data engineers to bring models and metrics into production.
• Design, run, and analyze experiments (A/B and quasi-experimental studies) to measure impact, size opportunities, and guide product and operational decisions.
• Deep-dive customer-experience issues and metric movements to identify root causes — the why behind the what, including how our metrics and their drivers relate and translate findings into clear, actionable recommendations.
• Communicate complex analyses to technical and non-technical audiences, earn the trust of senior leaders, and influence roadmap and prioritization decisions with your recommendations.
• Own your workstream end-to-end, from problem definition through delivery and ongoing measurement partnering across data engineering, product, and business teams as the business scales.

Skills

SQL

Hadoop/Hive

Python

Perl

Machine learning

Statistical modeling

Data analysis

Communication

Education

Master's degree in a quantitative field

Bachelor's degree + 5+ years in a quantitative field (stats/math/data science/economics/engineering/CS)

Tools

Graph databases

Graph embeddings

Job description

Amazon is seeking a Data Scientist to own measurement, modeling, and experimentation across its drone-delivery service in Seattle. You will design experiments, build models, and translate findings into actionable recommendations to improve customer experience as the business scales.

You will collaborate with data engineers, scientists, and business stakeholders to turn complex data into clear decisions, with room to explore new methods and shape how metrics are measured and improved.