Amazon is hiring: Data Scientist, Amazon Astro in Austin

The Emerging Devices organization (Z1) is looking for a Data Scientist with superb analytical, technical, business, and communication skills to work with marketing, product, and technology leaders.

Key responsibilities include defining and prioritizing key business questions, building data sets, statistical models, and analyses to answer those questions. The ideal candidate has a marketing or product analytics background, exceptionally strong quantitative modeling skills, and experience using statistical methods to produce actionable customer insights.

Job Responsibilities

• Proven ability to communicate complex technical work to a non-technical audience
• Ability to work with minimal guidance, be proactive, and handle ambiguity and quickly evolving goals
• Deliver insights to help shape strategy across a wide spectrum of business and technology areas
• 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 experience
• 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab) 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.