Amazon Web Services, Inc.

Corporate Operations, Science, no business category

DataScientistII-AMZ26888

$157–213k Mountain View, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist II - AMZ26888 at Amazon Web Services, Inc.. Skills: Data science, Machine learning, Statistical modeling, Data analysis. Design and implement scalable and reliable approaches to. Apply data science techniques and tools to solve”

Industry & Context.

Corporate Operations, Science, no business category
Problems you'll solve

Solve difficult business problems; Analyze data for trends; Analyze input validity; Track down anomalies

What They're Looking For.

Must Have

Master's degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience, 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, one year of experience in building statistical models and machine learning models using large datasets from multiple, one year of experience in writing SQL scripts for analysis and data, one year of experience in applying specialized modelling software including R, Python, or MATLAB

Nice to Have

All applicants must meet all the above listed requirements, PhD preferred, specific ML framework experience, cloud platform certs

What You'll Do.

Design and implement scalable and reliable approaches to

Apply data science techniques and tools to solve

Acquire data by building SQL / ETL queries

Import processes through company specific interfaces

Build relationships with stakeholders and counterparts

Analyze data for trends and input validity

Inspect univariate distributions

Explore bivariate relationships

Construct appropriate transformations

Track down source and meaning of anomalies

Build models using statistical modeling

Build models using mathematical modeling

Build models using econometric modeling

Build models using network modeling

Build models using social network modeling

Build models using natural language processing

Build models using machine learning algorithms

Build models using genetic algorithms

Build models using neural networks

Validate models against alternative approaches

Validate models against expected and observed outcome

Validate models against business defined key performance indicators

Implement models that comply with evaluations of computational

Implement models that comply with evaluations of accuracy

Implement models that comply with evaluations of reliability

Implement models that comply with ETL processes at

How You'll Work.

Team & Collaboration

Build relationships with stakeholders; Work with counterparts

Full Job Description

Employer: Amazon Web Services, Inc. Position: Data Scientist II Location: Mountain View, CA 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, 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. (40 hours / week, 8:00am-5:00pm, Salary Range $157300 - $212800) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: 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. Employer will accept a Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a rela

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