Data Scientist II: ML, SQL & ETL for Business Impact

Amazon Science; Irving (TX); On-site; USD 142,000 - 184,000; Full time

Job summary

Amazon.com Services LLC in Irving, TX is seeking a Data Scientist II to design and implement scalable data-science solutions for business decision support. The role involves building data pipelines, querying data via SQL/ETL, and leveraging Oracle, Redshift, and Spark storage systems.

The candidate will develop and validate models using a range of modeling techniques (statistical, econometric, ML) and ensure production ETL processes meet accuracy and reliability standards.

Qualifications

• Master’s degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field with 1 year of relevant experience; or Bachelor’s with 5 years of progressive experience and 1 year in the job offer.
• Experience in building statistical models and machine learning on large datasets; SQL scripting for analysis and data migration; proficiency with R, Python, or MATLAB.

Responsibilities

• Design and implement scalable data-science approaches to support business decisions.
• Acquire data by building SQL/ETL queries and access Oracle, Redshift, and Spark storage systems.
• Build and validate models using statistical, econometric, or ML methods and ensure ETL production reliability.

Skills

Statistical modeling

Machine learning

SQL scripting

Python

R

MATLAB

Education

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

Bachelor's degree + 5 years experience

Tools

Oracle

Redshift

Apache Spark

Job description

Amazon.com Services LLC in Irving, TX is seeking a Data Scientist II to design and implement scalable data-science solutions for business decision support. The role involves building data pipelines, querying data via SQL/ETL, and leveraging Oracle, Redshift, and Spark storage systems.

The candidate will develop and validate models using a range of modeling techniques (statistical, econometric, ML) and ensure production ETL processes meet accuracy and reliability standards.