Data Scientist II

Amazon.com Services LLC; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Sign-on payments

RSU

Health insurance (medical, dental, and

EAP and Mental Health Support

Medical Advice Line

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle, WA seeks a data scientist to own measurement, modeling, and experimentation for its drone-delivery service, turning large-scale data into decision-ready recommendations.

You will design ML solutions, acquire and validate datasets, run experiments, and communicate results to both technical and non-technical audiences, collaborating with data engineering, product, and business teams as the business scales.

Qualifications

• 2+ years in a data scientist role with experience in data extraction, analysis, statistical modeling, and communication
• 2+ years experience with data querying languages such as SQL and Hadoop/Hive
• 3+ years in ML/statistical modeling analysis using tools and techniques, including experience with parameters that affect performance
• Master’s degree in a quantitative field, or Bachelor’s + 5+ years in a quantitative field in statistics, mathematics, data science, economics or related
• Experience applying theoretical models in an applied environment

Responsibilities

• Design and deliver data science solutions using machine learning, statistical modeling, and generative AI when best approach is not obvious
• Acquire, transform, and validate large and evolving operational and customer datasets
• Investigate anomalies and data quality, partnering with data engineers to productionize models and metrics
• Design, run, and analyze A/B tests and quasi-experimental studies to quantify impact and opportunity size
• Perform customer-experience deep dives to identify root causes behind metric movement and translate findings into recommendations
• Communicate complex analysis to technical and non-technical audiences, influencing roadmap and prioritization
• Own workstream delivery end-to-end, from problem definition through ongoing measurement, with cross-functional teams as the business scales

Skills

Data extraction

Data analysis

Statistical modeling

Communication

Education

Master’s degree in a quantitative field

Bachelor’s + 5+ years in a quantitative field

Tools

SQL

Hadoop/Hive

Python

Perl

Job description

Own measurement, modeling, and experimentation for Amazon’s drone-delivery service, turning large-scale data into decision-ready recommendations.

Responsibilities

• Design and deliver data science solutions using machine learning, statistical modeling, and generative AI when the best approach is not immediately obvious
• Acquire, transform, and validate large and evolving operational and customer datasets
• Investigate anomalies and data quality, partnering with data engineers to productionize models and metrics
• Design, run, and analyze A/B tests and quasi-experimental studies to quantify impact and opportunity size
• Perform customer-experience deep dives to identify root causes behind metric movement, connecting outcomes to drivers and translating findings into clear recommendations
• Communicate complex analysis to technical and non-technical audiences, influencing roadmap and prioritization with recommendations
• Own workstream delivery end-to-end, from problem definition through ongoing measurement, in partnership with data engineering, product, and business teams as the business scales

Requirements

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

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in an ML or data scientist role at a large technology company
• Experience developing experimental and analytic plans, using strong baselines, and accurately determining cause-and-effect relationships
• Experience applying causal inference methods, including experimentation/A-B testing and quasi-experimental or observational causal approaches such as DiD, IV, or causal DAGs
• Experience designing, building, or reasoning over knowledge graphs (entity/ontology modeling, graph databases, or graph embeddings)

Technologies

• SQL, Hadoop/Hive, Python, Perl
• Machine learning, statistical modeling, generative AI
• A/B testing, quasi-experimental studies
• Causal inference methods: DiD, IV, causal DAGs

Benefits

• Sign-on payments
• Restricted stock units (RSU)
• Health insurance (medical, dental, vision, prescription) and Basic Life & AD&D insurance, with option for Supplemental life plans
• EAP and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

A Day in the Life

• Review model performance metrics before working sessions with engineers to refine a data pipeline
• Prototype a new machine learning approach, run experiments, and compare results against baseline models
• Present preliminary findings to business partners and translate statistical outputs into plain-language recommendations
• Join team discussions, scientific reviews, and mentoring conversations

Location: Seattle, WA (onsite)

Salary: USD 136,000 - 184,000 per yearly

Minimum Experience: 2 years