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Data Scientist, Amazon Astro

Austin, United States

DESCRIPTION

The Emerging Devices organization (Z1) is looking for a Data Scientist that has superb analytical, technical, business and communication skills to be able to work with marketing, product and technology leaders. They will define and prioritize key business questions, build data sets, statistical models and analyses that answer those questions. This role requires an individual with marketing or product analytics background, exceptionally strong quantitative modeling skills and experience using statistical methods to produce actionable customer insights. Additionally, this role will need to understand the process to build and evaluate supervised classification models.

Key job responsibilities

Proven ability to communicate complex technical work to a non-technical audience
The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals
Deliver insights to help shape strategy across a wide spectrum of business and technology areas, including customer post-purchase lifecycle and product feature enhancements
Work with Data Engineering partners to establish requirements for tools to evaluate and deploy LLM-based classification models
Lead research and development of customer acquisition propensity and customer segmentation models
Conduct ad-hoc analysis and provide expertise around statistical methods to help product and marketing stakeholders make decisions
Establish end-to-end and maintain baseline reporting products for product lifecycle engagement.

BASIC QUALIFICATIONS

3+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance 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
Experience in communicating technically, at a level appropriate for the audience
Bachelor's degree
Experience with industry data visualization tools (Tableau, Quicksight, PowerBI)

PREFERRED QUALIFICATIONS

Experience in a ML or data scientist role with a large technology company
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience evaluating and deploying supervised classification models
Experience with AWS products (Quicksight, S3, Redshift, Sagemaker)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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