Data Scientist, AWF Exports Data Science

Amazon Science; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon Science is seeking a data scientist to derive insights for operational improvement through analytics. The role requires analysis, understanding of the systems workflow, cross-functional communication and issues management.

The successful candidate will build tools and dive deep to identify root causes of system errors and performance issues. They will present findings to business partners to drive improvements and prioritize customer needs, delivering scalable analyses and automated

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) and scripting (Python) experience.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Design scalable approaches to support decision making across the business.
• Apply science techniques to solve business problems with unclear solutions.
• Build ML algorithms, NLP, neural networks and related methods.
• Acquire data by building ETL queries.
• Establish scalable automated data analyses processes for large-scale analyses.
• Analyze for trends and input validity by inspecting distributions and anomalies.
• Validate against alternatives, expectations, and KPIs.
• Build relationships with stakeholders and counterparts.

Skills

SQL

Python

R

Matlab

SAS

Machine learning

Statistical modeling

Data analysis

Tools

ETL

Job description

Description

Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.

Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.

The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.

Key job responsibilities

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
• Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
• Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
• Acquire by building the necessary / ETL queries.
• Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.
• Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
• Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
• Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
• Build relationships with stakeholders and counterparts.

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually