Data Scientist I, FMA

Amazon.com Services LLC; Seattle (WA); On-site; USD 108,000 - 160,000; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle, WA seeks a Data Scientist to build ranking and recommendation models, perform experiments, and collaborate across science, engineering, and product. You will translate business questions into data science problems and communicate results to engineers, PMs, and leadership.

You’ll own end-to-end analytics from feature engineering to production deployment, partnering with software engineers to run models at scale and maintain performance in a high-traffic

Qualifications

• 1+ years of experience with SQL, Python, or related data tools.
• 2+ years as data scientist, statistician, or quantitative analyst in internet context with big data.
• 1+ years creating or contributing to educational content or textbooks.
• Master’s degree in STEM or equivalent experience.

Responsibilities

• Build and own ML models that rank and recommend offers across the catalog.
• Design and analyze A/B experiments to measure impact.
• Mine large-scale datasets to improve best-offer predictions.
• Translate business questions into data science problems and communicate results.
• Partner with engineers to deploy models at scale and ensure low-latency performance.
• Monitor model performance and iterate as marketplace evolves.

Skills

SQL

Python

Statistics

Data analysis

Experiment design

Education

Master’s degree in STEM

Tools

Hadoop

Spark

Hive

MapReduce

SAS

Matlab

SPSS

Job description

Amazon’s offer-ranking team builds the machine learning systems that help customers see the right offers at the moment they are ready to buy. In this onsite role in Seattle, you will develop and operate ranking and recommendation models, run experiments that measure real customer and business impact, and help keep model performance strong as the marketplace changes.

This Data Scientist position supports large-scale decisioning across Amazon’s product catalog, from feature engineering through production deployment, with close collaboration across science, engineering, and product.

What you’ll do

• Build and own machine learning models that rank and recommend offers across Amazon’s product catalog, including work from feature engineering through production deployment.
• Design and analyze A/B experiments to quantify the effects of algorithm changes on customer experience, seller competition, and business outcomes.
• Mine large-scale datasets to uncover patterns and signals (including seller behavior, pricing dynamics, and fulfillment performance) that improve best-offer prediction for each customer.
• Translate business questions into well-defined data science problems, and communicate results clearly to engineers, product managers, and leadership.
• Partner with software engineers to operationalize models at scale, supporting reliable performance under high-traffic, low-latency conditions.
• Monitor model performance over time, diagnose degradation, and iterate to maintain ranking quality as the marketplace evolves.

Required qualifications

• 1+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical and mathematical software (e.g., R, SAS, Matlab, etc.).
• 2+ years of experience as a data/research scientist, statistician, or quantitative analyst in an internet-based company working with complex and big data sources.
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content.
• Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience in STEM.

Tools and technologies

• SQL, Python, R, SAS, Matlab, SPSS, S-PLUS
• Hadoop, Spark, Map-reduce, Hive

Preferred qualifications

• Ph.D. in STEM.
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R.
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience with clustered data processing such as Hadoop, Spark, Map-reduce, and Hive.
• Experience working with or evaluating AI systems.
• Experience applying quantitative analysis to solve business problems and make data-driven business decisions.
• Experience communicating complex concepts through written and verbal communication.

About the team

• Owns a consequential algorithm that determines which offer a customer sees when they are ready to buy.
• Brings together scientists, engineers, and product managers focused on getting ranking right for customers and sellers.
• Moves fast, runs many experiments, and debates ideas openly.
• Values rigorous science, shipping important work, and avoiding shortcuts that erode customer trust.

Compensation and location

Location: Seattle, WA (onsite). Compensation: USD 108,300 - 160,000 per year.

Benefits

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