Data Scientist II - AMZ

Overview

Multiple Positions Available. 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, Red Shift, 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.

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
• Apply data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases where the solution approach is unclear.
• Acquire data by building the necessary SQL / ETL queries.
• Import processes through interfaces for accessing Oracle, Red Shift, and Spark storage systems.
• Build relationships with stakeholders and counterparts.
• Analyze data for trends and input validity by inspecting distributions, exploring relationships, constructing transformations, and identifying anomalies.
• Build models using statistical, mathematical, econometric, network, social network, natural language processing, machine learning, genetic algorithms, and neural networks.
• Validate models against alternative approaches, expected and observed outcomes, and other business KPIs.
• Implement models that meet the computational, accuracy, and reliability requirements of ETL processes at various production stages.

• 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.
• Employer will accept a Bachelor’s degree or foreign equivalent 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.
• One year of experience in: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; (3) applying specialized modelling software including R, Python, or MATLAB.

• All applicants must meet all the above listed requirements.
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

(40 hours / week, 8:00am-5:00pm, Salary Range $136000 - $184000)

Location:

Houston, TX

Employer:

Amazon Web Services, Inc.