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Data Scientist III - AMZ9082360

Amazon

Graz

Hybrid

USD 159 000 - 216 000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

A leading company is seeking a Data Scientist III to support business functions through advanced statistical analysis and model development. The incumbent will leverage extensive experience in SQL and data processing, transforming complex business problems into actionable data-driven solutions. This role offers a competitive salary and is based in Chicago, with potential for partial telecommuting.

Qualifikationen

  • Master’s or Bachelor’s degree in related field with requisite experience.
  • Experience with SQL, ETL, Oracle, and large data sets.
  • Developed automated reporting systems.

Aufgaben

  • Manage metrics reporting and perform statistical modeling.
  • Design and develop forecasting technologies.
  • Establish processes for large scale data analyses.

Kenntnisse

SQL
ETL
Oracle
Statistical analysis
Data processing

Ausbildung

Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics
Bachelor’s degree in relevant field with 5 years experience

Jobbeschreibung

Job ID: 2913266 | Amazon.com Services LLC - A57

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC
Offered Position: Data Scientist III
Job Location: Chicago, Illinois
Job Number: AMZ9082360

Position Responsibilities:

Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.

Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, 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.) using SQL, ETL or Oracle; (2.) processing large, multi-dimensional datasets from multiple sources; and (3.) developing automated reporting. Partial telecommuting permitted; employees will be required to report to office multiple days per week.

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

40 hours / week, 8:00am-5:00pm, Salary Range $159,200/year to $215,300/year. #0000

BASIC QUALIFICATIONS

Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, 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.) using SQL, ETL or Oracle; (2.) processing large, multi-dimensional datasets from multiple sources; and (3.) developing automated reporting. Partial telecommuting permitted; employees will be required to report to office multiple days per week. #0000

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.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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