Data Scientist II - AMZ10564077

Amazon Inc.; Seattle (WA); On-site; USD 175,000 - 213,000; Full time

Job summary

Amazon.com Services LLC is hiring a Data Scientist II in Sunnyvale, CA, to design and implement scalable data-driven solutions for business decisions. The role involves building ML models, performing extensive data analysis, and collaborating with stakeholders to ensure reliable ETL processes and accurate assessments of performance metrics.

The position requires advanced degree in a quantitative field, experience with SQL and data pipelines, and proficiency in statistical/machine learning tools.

Qualifications

• Master's degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or related field and 1 year of related experience; or Bachelor’s + 5 years of experience as equivalent.
• Experience building statistical models and machine learning models on large datasets from multiple resources; writing SQL scripts for analysis and data migration; using R, Python, or MATLAB.

Responsibilities

• Design and implement scalable approaches to support or automate decision making.
• Acquire data by building necessary SQL / ETL queries; access Oracle, RedShift, and Spark storage systems.
• Build models using statistical, econometric, and ML techniques; validate against KPIs and production constraints.
• Collaborate with stakeholders and ensure the reliability and efficiency of ETL processes at various stages of production.

Skills

Statistical modeling

Machine learning

Education

Master's degree in Statistics / Applied Math / Economics / Engineering / CS

Tools

R

Python

MATLAB

SQL

Job description

Job ID: 10577453 | Amazon.com Services LLC - A57
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.
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 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. Veterans, military spouses, and people with disabilities are encouraged to apply.