Principal Engineer-Data Science — Remote (US)
Verizon · Alpharetta, Georgia
Posted Posted 1 day ago
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This Principal Engineer-Data Science role at Verizon was posted in the last 7 days and is remote-eligible in the US. Before applying, run your resume through the checker on the right — most rejections here are keyword and formatting mismatches, not qualifications.
When you join Verizon
You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing...
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.
What we’re looking for...
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. Experience therein to include 6 years in the following: 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; and 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.
Hybrid role, ability to work from home.
Must Reference: CBVENS-W
Where you’ll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
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