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Data Scientist

2 months ago

Dallas, United States SSi People Full time

Location: Pittsburgh, PA/ Cleveland, OH/ Birmingham, AL/Dallas, TX/ Phoenix, AZ

Duration: 12 Months (possibilities of extension or conversion)

Contract Type: W2 Contract


Job Description:

  • 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
  • Looking for a DS analyst that has both data scientist/analyst experience working with Splunk, log scale, Dynatrace tools that can pull together models and what if analysis on the digital identity data
  • 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
  • Hands on experience working with data visualization tools e.g., Tableau, Power BI, etc.


Qualifications:

  • High School Diploma or Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 8+ years required