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.
- 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 - Bachelors degree - Experience with industry data visualization tools (Tableau Quicksight PowerBI)
- Experience in a ML or data scientist role with a large technology company - Masters 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.
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