Data Scientist II - AMZ10564056

Employer: AMAZON.COM SERVICES LLC – Offered Position: Data Scientist II – Job Location: Culver City, California.

About the role

Design and implement scalable and reliable approaches to support or automate decision making throughout the business, applying data science techniques and subject‑matter expertise to solve complex problems where the solution path is not clear.

Responsibilities

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
• Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
• Acquire data by building the necessary SQL / ETL queries.
• Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems.
• Build relationships with stakeholders and counterparts.
• Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
• Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
• Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
• Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

Requirements

• Master’s degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation; OR a Bachelor’s degree in the same fields and five years of progressive post‑baccalaureate experience equivalent to the Master’s plus one year.
• One year of experience building statistical models and machine learning models using large datasets from multiple resources.
• One year of experience writing SQL scripts for analysis and data migration.
• One year of experience applying specialised modelling software including R, Python, or MATLAB.

Skills

• Statistical and machine learning model building on large, multi‑source datasets.
• SQL scripting for analysis and data migration.
• Proficiency with R, Python, or MATLAB for specialised modelling.

Benefits

Amazon is a total compensation company. Depending on the role