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Key job responsibilities
- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the life
On a typical day you will:
- Work with non-technical stakeholders to understand what decisions they make and the information they need to make those decisions
- Work with BIEs and BAs to understand what data and information are available, where to find it, and how to interface with it- Create mechanisms to ensure the AI solution is being fully utilized by all relevant stakeholders
- Create mechanisms to collect and analyze metadata about how stakeholders are using your solution
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience in the data/BI space
- Experience creating AI-based tools to be used by non-technical stakeholders
- Bachelor's Degree
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