Data Scientist II - AMZ6459
Seattle, Washington, USA
Amazon.com
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Job summary
MULTIPLE POSITIONS AVAILABLE
Company: AMAZON.COM SERVICES LLC
Position Title: Data Scientist II
Location: Seattle, Washington
Position Responsibilities:
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.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #0000
Position Requirements:
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Research Science, Applied Science, or a related field and two years of experience in the job offered, or as a Machine Learning Specialist, or a related occupation. Employer will accept a bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Research Science, Applied Science, or a related field and five years of experience in the job offered or a related occupation as equivalent to the master's degree and two years of experience. Must have two years of experience in the following skill(s): programming with Java, C++, C, Python, or equivalent programming language; designing and performing A/B tests; and writing SQL scripts for analysis and data migration.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
MULTIPLE POSITIONS AVAILABLE
Company: AMAZON.COM SERVICES LLC
Position Title: Data Scientist II
Location: Seattle, Washington
Position Responsibilities:
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.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #0000
Basic Qualifications
Position Requirements:
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Research Science, Applied Science, or a related field and two years of experience in the job offered, or as a Machine Learning Specialist, or a related occupation. Employer will accept a bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Research Science, Applied Science, or a related field and five years of experience in the job offered or a related occupation as equivalent to the master's degree and two years of experience. Must have two years of experience in the following skill(s): programming with Java, C++, C, Python, or equivalent programming language; designing and performing A/B tests; and writing SQL scripts for analysis and data migration.
Preferred Qualifications
Please see the job description and position requirements above.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Engineering ETL Machine Learning Mathematics NLP Oracle Python Redshift Research Spark SQL Statistical modeling Statistics
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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