Data Scientist II: Scalable ML & Analytics

Amazon Science; Sunnyvale (CA); On-site; USD 175,000 - 213,000; Full time

Benefits offered by this job

Benefits package

Job summary

Amazon Science in Sunnyvale seeks a Data Scientist II to design scalable models, apply ML and econometric methods, and extract insights from large data stores. You will build SQL/ETL pipelines, access Oracle, RedShift, and Spark storage, and collaborate with stakeholders to drive data-driven decisions.

The role requires a Master's or equivalent in a quantitative field, 1 year of related experience (or 5+ years with a Bachelor's), and strong skills in statistical modeling, ML, and programming in

Qualifications

• Master's or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or related field with 1 year of related experience.
• Bachelor's with 5 years progressive post-baccalaureate experience equivalent to Master's plus 1 year experience.
• Experience in building statistical models, SQL scripting, and using R/Python/MATLAB.

Responsibilities

• Design and implement scalable approaches to support or automate decision making.
• Apply data science techniques and build models using ML, econometric, and NLP methods.
• Acquire data via SQL/ETL queries and access Oracle, RedShift, Spark storage systems.
• Validate models against KPIs and ensure production readiness of ETL processes.

Skills

Statistical modeling

Machine learning

SQL scripting

Data analysis

Education

Master's degree in Statistics/Applied Math/Economics/Engineering/CS

Bachelor's degree with 5+ years experience

Tools

R

Python

MATLAB

SQL

Job description

Amazon Science in Sunnyvale seeks a Data Scientist II to design scalable models, apply ML and econometric methods, and extract insights from large data stores. You will build SQL/ETL pipelines, access Oracle, RedShift, and Spark storage, and collaborate with stakeholders to drive data-driven decisions.

The role requires a Master's or equivalent in a quantitative field, 1 year of related experience (or 5+ years with a Bachelor's), and strong skills in statistical modeling, ML, and programming in