Data Scientist II - Amz27022.1

Amazon Amazon · Big Tech · San Diego, CA · Corporate Operations

Data Scientist II role at Amazon Web Services focusing on designing and implementing scalable data science approaches, acquiring data via SQL/ETL, and building statistical and machine learning models using large datasets. The role involves analyzing data, validating models, and implementing them with consideration for computational demands and reliability.

What you'd actually do

  1. Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
  2. 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.
  3. Acquire data by building the necessary SQL / ETL queries.
  4. 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.
  5. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.

Skills

Required

  • Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience
  • Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience
  • building statistical models and machine learning models using large datasets from multiple resources
  • writing SQL scripts for analysis and data migration
  • applying specialized modelling software including R, Python, or MATLAB

What the JD emphasized

  • building statistical models and machine learning models using large datasets from multiple resources
  • writing SQL scripts for analysis and data migration
  • applying specialized modelling software including R, Python, or MATLAB

Other signals

  • building statistical models and machine learning models
  • applying specialized modelling software including R, Python, or MATLAB