Data Scientist II - Amz24268.1

Amazon Amazon · Big Tech · NY +1 · Corporate Operations

Data Scientist II role focused on designing and implementing scalable approaches for business decision-making, involving data acquisition via SQL/ETL, analysis, and building models using various statistical and machine learning techniques. Requires experience with large datasets, SQL scripting, and modeling software like R, Python, or MATLAB.

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 relationships with stakeholders and counterparts.
  5. 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.
  6. 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.
  7. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
  8. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

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 in the job offered or a related occupation.
  • 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 in the job offered or a related occupation as equivalent to the Master’s degree and one year of 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

  • 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
  • Acquire data by building the necessary SQL / ETL queries
  • Analyze data for trends and input validity