Principal Data Science Engineer

Verizon Verizon · Telecom · Basking Ridge, NJ +4

Principal Data Science Engineer role at Verizon Consumer AI & Analytics team. Focuses on transforming raw information into strategic intelligence for the Consumer Group by architecting products and assets, developing complex analyses using big data technologies, designing predictive models, and extracting actionable insights. Requires experience in data management, analysis, visualization, specific tools like Looker/Qlik, data modeling, GCP (BigQuery/Vertex AI), ETL processes, and SQL. Experience with ML algorithms is a plus.

What you'd actually do

  1. Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
  2. Design and refine predictive models to solve complex business questions and improve operational predictability.
  3. Extract actionable insights from massive datasets to drive revenue and customer retention
  4. Guide peers through system usage assessments.
  5. Lead process improvement initiatives and ensure rigorous data quality standards.

Skills

Required

  • Bachelor’s degree or four or more years of work experience
  • Six or more years of relevant work experience
  • Experience in data management, analysis and visualization
  • Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards
  • Experience with data modeling using LookML in the Looker platform
  • Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro)
  • Experience as a data scientist, analyst, or statistical modeler
  • Experience with programming language SQL
  • Experience in designing, developing and implementing ETL processes

Nice to have

  • A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research
  • A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating PowerPoint presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners
  • Demonstrated knowledge of Retail Channel metrics and data domain principles
  • Experience in visual science / dashboard design principles
  • Experience in applying statistical ideas and methods to data sets to answer business problems
  • Experience with programming languages, like Python, JS, or R
  • Experience with Machine Learning algorithms and tools

What the JD emphasized

  • Experience with Machine Learning algorithms and tools

Other signals

  • Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
  • Design and refine predictive models to solve complex business questions and improve operational predictability.
  • Extract actionable insights from massive datasets to drive revenue and customer retention