Role at a glance
- Salary
- $141.8K – $184K/yr
- Location
- Irving, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- one year of experience in the job offered or a related occupation
- Education
- Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related...
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Data Scientist II designs and implements scalable, reliable approaches to support or automate business decision-making. The role acquires and analyzes data, develops and validates models, and implements production-ready solutions while working with stakeholders and counterparts.
What You'll Do
- Build SQL and ETL queries to acquire data from Oracle, RedShift, and Spark storage systems.
- Analyze data for trends, input validity, relationships, transformations, and anomalies.
- Build statistical, mathematical, econometric, network, natural language processing, machine learning, genetic algorithm, and neural...
- Validate models against alternative approaches, expected and observed outcomes, and business-defined key performance indicators.
- Implement models while evaluating computational demands, accuracy, and reliability of ETL processes at various production stages.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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. Employer will accept a...
- #0000
Preferred
- All applicants must meet all the above listed requirements.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
#0000
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.#0000
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.
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.