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Data Scientist II - AMZ9084921

Amazon

Asti

In loco

EUR 85.000 - 111.000

Tempo pieno

Oggi
Candidati tra i primi

Descrizione del lavoro

A leading e-commerce company seeks a Data Scientist II to design scalable decision-making processes and build statistical models. The role requires a Master's degree and experience with data analysis and SQL. The position is based in Seattle, Washington. Competitive compensation packages and benefits are offered.

Servizi

Equity and sign-on bonuses
Full range of medical benefits
Financial benefits

Competenze

  • Master’s degree in a relevant field and one year of experience in the job offered.
  • Experience with large datasets and statistical modeling.
  • Proficient in writing SQL scripts for analysis.

Mansioni

  • Design and implement scalable decision-making processes.
  • Analyze data to detect trends and anomalies.
  • Build and validate various models for data analysis.

Conoscenze

Building statistical models
Machine learning
SQL scripting
Data analysis
Python
R
MATLAB

Formazione

Master’s degree in Statistics, Applied Mathematics, Economics, Engineering, or Computer Science
Bachelor's degree with five years of experience as equivalent

Strumenti

R
Python
MATLAB
Descrizione del lavoro
Overview

Job ID: 3041563 | Amazon.com Services LLC - A57

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC
Offered Position: Data Scientist II
Job Location: Seattle, Washington
Job Number: AMZ9084921

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.
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.
Preferred Qualifications
  • 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.
Job details
  • USA, WA, Seattle
  • Corporate Operations
Additional Information

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: https://www.aboutamazon.com/workplace/employee-benefits.#0000

Equal Opportunity Statement

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Legal and Accessibility

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.

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