Data Scientist II AMZ9658237

Amazon

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON ADVERTISING LLC
Offered Position: Data Scientist II
Job Location: New York New York
Job Number: AMZ9658237

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.

40 hours / week 8:00am-5:00pm Salary Range $169541/year to $207500/year.

Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information visit:
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Position Requirements:

Masters 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 Bachelors 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 Masters 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

Please see job description and the position requirements above.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC

MULTIPLE POSITIONS AVAILABLEEmployer: AMAZON ADVERTISING LLCOffered Position: Data Scientist IIJob Location: New York New YorkJob Number: AMZ9658237Position Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a ...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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