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Data Scientist

Salary undisclosed

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Location: Pittsburgh, PA
Description:
Role - Data Scientist

Type: Contractual ( No Sub Vendor)

Location - Dallas, TX or Pittsburgh, PA or Birmingham, AL or Phoenix AZ or Strongsville, OH

Work Type - Hybrid

Roles and Responsibilities:

- Establish standards for metrics & reporting for new & existing products and capabilities

- Identifying requirements and data needed to build reports

- Develop process to align with new projects/strategic initiatives intersecting with DI to capture requirements and build as part of the project.

- Generate and test hypotheses and analyze & interpret the results of product experiments (What/If Analysis).

- Seek to understand the Digital Identity Product data, the applicability of the data to create meaning and consumable visualizations that will be leveraged to drive business decisions.

- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

- Pulling data to develop recurring or one-time reports

- Building dashboards to support products

- Maintaining databases, spreadsheets and other tools used in data analysis

- Locating and fixing errors in reports

- Training others on how to use and create reports

- Create a backlog and roadmap of future DI metrics & reporting enhancements

- Analyze data and reports to identify trends, issues, and performance improvements for capabilities

Must Have Technical Skills:

- Digital Identity, Authentication and Fraud Operations/Analytics

- Hands on experience working with data visualization tools - e.g Tableau, Power BI, etc.

- Hands on experience writing & executing queries and analyzing results across multiple platforms - Oracle, Hadoop, Teradata, etc

Flex Skills/Nice to Have:

- Business Case Development

- Ability to define business value

- Experience establishing objectives and key results

- Experience with scripting languages such as Python

- Experience in defining and implementing platform operations & analytics model and framework

Contact:

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