Data Scientist II - AMZ10564077

Amazon Science

Sunnyvale (CA)

On-site

USD 175,000 - 213,000

Full time

17 hours ago
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Benefits package

Job summary

Amazon Science in Sunnyvale seeks a Data Scientist II to design scalable models, apply ML and econometric methods, and extract insights from large data stores. You will build SQL/ETL pipelines, access Oracle, RedShift, and Spark storage, and collaborate with stakeholders to drive data-driven decisions.

The role requires a Master's or equivalent in a quantitative field, 1 year of related experience (or 5+ years with a Bachelor's), and strong skills in statistical modeling, ML, and programming in

Qualifications

  • Master's or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or related field with 1 year of related experience.
  • Bachelor's with 5 years progressive post-baccalaureate experience equivalent to Master's plus 1 year experience.
  • Experience in building statistical models, SQL scripting, and using R/Python/MATLAB.

Responsibilities

  • Design and implement scalable approaches to support or automate decision making.
  • Apply data science techniques and build models using ML, econometric, and NLP methods.
  • Acquire data via SQL/ETL queries and access Oracle, RedShift, Spark storage systems.
  • Validate models against KPIs and ensure production readiness of ETL processes.

Skills

Statistical modeling
Machine learning
SQL scripting
Data analysis

Education

Master's degree in Statistics/Applied Math/Economics/Engineering/CS
Bachelor's degree with 5+ years experience

Tools

R
Python
MATLAB
SQL

Job description

Description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC

Offered Position: Data Scientist II

Job Location: Sunnyvale, California

Job Number: AMZ10564077

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: $175,040/year to $212,800/year.

Benefits

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.

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 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

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.

Los Angeles County applicants

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture

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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