Principal Engineer-Data Science

Verizon•Alpharetta, GA

1d•Hybrid

About The Position

Responsible for analytics, data gathering, data modelling, data mining, strategic marketing, planning, and financial analysis. Identify and recommend acquisition, revenue, and retention opportunities within the Consumer base. Work with large datasets to solve complex technical problems with subject-matter specialists and partner with other teams to advance Verizon initiatives. Own targets for improving KPIs through personalized, data-driven recommendations. Identify influenceable customer cohorts and execute targeted marketing campaigns to drive desired outcomes. Identify business problems and develop analytic techniques to provide solutions to external teams. Identify opportunities, size potential gains, and present actionable plans. Drive technical and data-related projects of varying scopes and complexities. Work with other business units, vendors, and executives to represent and advance the organization's strategy. Use data visualization and other data-gathering methods to provide internal strategic direction or guide decisions for other teams. This is a hybrid position with a defined work location that includes working from home and a minimum of three days per week in the office, with the office schedule set by the manager. Employees must comply with hybrid work policies. Scheduled weekly hours are 40.

Requirements

Bachelor’s or foreign equivalent degree in Technology Management, Business Analytics, or a related field, and 6 years of progressive, post-baccalaureate experience in the job offered or as a Manager - AI Science, Manager - Business Intelligence, or in a related/similar position; alternatively, a Master’s or foreign equivalent degree in the stated fields and 4 years of experience.
Six years of experience producing dashboards, reports, and presentations to evaluate the impact of real-time, decisions-based CRM efforts.
Six years of experience partnering with channel leads and functional teams to supplement quantitative analysis with qualitative feedback.
Six years of experience designing, building, automating, and maintaining well-structured data marts, and proactively addressing data quality, accuracy, and completeness issues.
Six years of experience resolving data issues and combining data from multiple systems using tools such as SQL, SAS, and/or Tableau.
Six years of experience performing data analysis and developing conclusions and recommendations for stakeholder teams.
Six years of experience ensuring that the business and technical architecture of delivered solutions matches business requirements to support continued experimentation and evolving analytics.

Responsibilities

Perform analytics, data gathering, data modelling, data mining, strategic marketing, planning, and financial analysis.
Identify and recommend acquisition, revenue, and retention opportunities within the Consumer base.
Work with large datasets to solve complex technical problems with subject-matter specialists and partner with other teams on Verizon initiatives.
Improve KPIs through personalized, data-driven recommendations.
Identify influenceable customer cohorts and execute targeted marketing campaigns to drive desired outcomes.
Identify business problems and develop analytic techniques to provide solutions to external teams.
Identify opportunities, size potential gains, and present actionable plans.
Drive multiple technical and data-related projects of varying scopes and complexities.
Work with other business units, vendors, and executives to represent and drive the organization's strategy.
Use data visualization and other data-gathering methods to provide internal strategic direction or guide decisions for other teams.