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Job Description
- Develop evaluation frameworks for models, new metrics, and investigate anomalies.
- Build and maintain data pipelines, dashboards and business scorecards to help organize data from multiple sources into an easy to digest format that meets functional and business needs.
- Develop QA processes to ensure that data is checked and validated before release to internal teams and work with stakeholders to incorporate feedback ensuring that systems, tooling and datasets are usable for defined deliverables.
- Develop detailed delivery plans and communications for key deliverables to keep relevant stakeholders informed. Work with internal and external stakeholders to implement and update processes where necessary.
- Create “self-serve” capabilities within the team for non-technical users and work with the Analytics and Data Science teams to create complex ad hoc datasets where self-service is infeasible.