Amazon.com Services LLC

Data Science, Science, north america stores

Sr.DataScientist

$159–215k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Data Scientist at Amazon.com Services LLC. Skills: Data science, Machine learning, Data analysis, Product development. Own data science elements of products. Drive data-based decision making”

Industry & Context.

Data Science, Science, north america stores
Problems you'll solve

Data-driven decision making; Bridging uncertainty

What They're Looking For.

Must Have

5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Experience with statistical models, Bachelor's degree or above in Math, Statistics, Computer Science, or related Science field, Master's degree and 5+ years of professional or military experience, Experience building large-scale machine learning models and infrastructure, Knowledge of data analysis languages, Experience communicating with users, other technical teams, and management

Nice to Have

Experience managing data pipelines, Experience as a leader and mentor, 4+ years processing large, multi-dimensional datasets, Analytical skills, Attention to detail, Effective communication abilities, Experience participating in or leading technical collaborations, Creating alignment across diverse groups, Programming skills in Python, Java, or related languages, Usage of generative AI tools, Willingness to learn effective prompting and evaluation practices, Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

What You'll Do.

Own data science elements of products

Drive data-based decision making

Optimize product performance

Track product performance

Translate business problems into data requirements

Translate products into data requirements

Translate business problems into metrics

Translate products into metrics

Initiate design of scientific analysis projects

Initiate development of scientific analysis projects

Initiate implementation of scientific analysis projects

Initiate design of deliverables

Initiate development of deliverables

Initiate implementation of deliverables

Own analysis of data science solutions

Own modelling of data science solutions

Own system design of data science solutions

Own development of data science solutions

Write documents explaining model results

Write documents explaining analysis results

Make presentations explaining model results

Make presentations explaining analysis results

Bridge uncertainty in problem definition

Bridge uncertainty in data scientific solution approaches

Build consensus on data

Build consensus on metrics

Build consensus on analysis

Drive business strategy

Drive system strategy

How You'll Work.

Team & Collaboration

Work with product managers; Work with Technical Product Managers; Communicating with users; Communicating with other technical teams; Communicating with management; Technical collaborations; Alignment across diverse groups

Communication Scope

Presentations; Documentation

Full Job Description

Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy. Basic Qualifications: - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression - Bachelor's degree or above in Math, Statistics, Computer Science, or related Science field, or Master's degree and 5+ years of professional or military experience - Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization Preferred Qualifications: - Experience managing data pipelines - Experience as a leader and mentor on a data science team - 4+ years of processing large, multi-dimensional datasets from multiple sources experience - Experience that i

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