Amazon
Data Scientist II, Prime Air
$136K–$184K
Seattle, WA · Full-time · Posted Sep 16, 2026
- Experience
- 2+ years in a data scientist or similar role; 2+ years with data querying languages; 3+ years with machine learning/statistical modeling data analysis tools and techniques. Education alternative: Master's degree in a quantitative field, or Bachelor's degree and 5+ years of experience in a quantitative field.
- Education
- Master's degree in a quantitative field, or Bachelor's degree and 5+ years of experience in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
About the job
Owns measurement, modeling, and experimentation for Amazon Prime Air’s drone-delivery customer experience, translating analysis into product and operational decisions.
What you'll do
- Build and operationalize data science solutions, models, metrics, and analyses using operational and customer data.
- Design and analyze A/B and quasi-experimental studies, investigate metric changes and root causes, and provide actionable recommendations.
- Communicate findings and influence decisions while owning workstreams from problem definition through ongoing measurement.
What they ask for
- 2+ years in a data scientist or similar role involving data extraction, analysis, statistical modeling, and communication.
- 2+ years of experience with data querying languages such as SQL or Hadoop/Hive.
- 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, including performance parameters.
- Experience applying theoretical models in an applied environment.
Nice to have
- Experience with Python, Perl, or another scripting language; experience in a machine learning or data scientist role with a large technology company.
- Experience with experimental and analytic plans, causal inference methods, or knowledge graphs.
Pay
136,000.00 - 184,000.00 USD annually (base salary)
Tools
SQL, Hadoop/Hive, Python, Perl, machine learning, generative AI, A/B testing
AI focus
Applies machine learning and generative AI techniques to business problems; develops propensity and behavioral models and forecasts demand.
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