Principal Engineer-Data Science

Verizon is hiring a Principal Engineer-Data Science to analyze consumer data and identify acquisition, revenue, and retention opportunities. The role develops data-driven recommendations and targeted marketing campaigns, solves complex analytics problems, and leads technical and data projects that advance business initiatives.

Responsibilities

• 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 a large dataset environment, solving complex technical problems with the assistance of other subject-matter specialists, and partnering with other teams to drive Verizon's initiatives
• Responsible for targets on improving various Key Performance Indicators (KPIs) through personalized data-driven recommendations
• Identify influenceable cohorts of customers 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 within Verizon, vendors, and executives to represent and drive the organization's strategy
• Use data visualization and other data-gathering methods to either provide internal strategic direction or guide decisions for other teams

Skills

• 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
• Producing a range of dashboards, reports and presentations to help evaluate impact of real time decisions-based CRM efforts
• Partnering with channel leads and functional team to supplement quantitative analysis with qualitative feedback
• Designing, building, automating and maintaining well-structured data marts. Proactively addressing any issues with data quality, accuracy and completeness
• Resolving data issues and combining data from multiple systems through tools such as SQL, SAS and/or Tableau
• Performing data analysis and development of conclusions and recommendations for stakeholder teams
• Ensuring business and technical architecture of the delivered solutions matches business requirements to support continued experimentation and evolve analytics
• In lieu of a Bachelor's degree and 6 years of progressive, post-baccalaureate experience, employer will accept a Master's or foreign equivalent degree in the fields stated above and 4 years of experience in the above

Benefits

• Hybrid role, ability to work from home; minimum of three days per week in the office, with the defined work location set by the manager.

Company Overview

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