Data Scientist II - AMZ27596.1

Amazon Science; Irving (TX); On-site; USD 142,000 - 184,000; Full time

Job summary

Amazon.com Services LLC in Irving, TX is seeking a Data Scientist II to design and implement scalable data-science solutions for business decision support. The role involves building data pipelines, querying data via SQL/ETL, and leveraging Oracle, Redshift, and Spark storage systems.

The candidate will develop and validate models using a range of modeling techniques (statistical, econometric, ML) and ensure production ETL processes meet accuracy and reliability standards.

Qualifications

• Master’s degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field with 1 year of relevant experience; or Bachelor’s with 5 years of progressive experience and 1 year in the job offer.
• Experience in building statistical models and machine learning on large datasets; SQL scripting for analysis and data migration; proficiency with R, Python, or MATLAB.

Responsibilities

• Design and implement scalable data-science approaches to support business decisions.
• Acquire data by building SQL/ETL queries and access Oracle, Redshift, and Spark storage systems.
• Build and validate models using statistical, econometric, or ML methods and ensure ETL production reliability.

Skills

Statistical modeling

Machine learning

SQL scripting

Python

R

MATLAB

Education

Master's degree in Statistics/Math/Engineering/CS

Bachelor's degree + 5 years experience

Tools

Oracle

Redshift

Apache Spark

Job description

Description

Employer: Amazon.com Services LLC

Position: Data Scientist II - AMZ27596.1

Location: Irving, TX

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 $141773 - $184000)

Amazon.com is an Equal Opportunity – Affiliated…

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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 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. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB.

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Preferred Qualifications

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.