Data Science Principal Engineer

4 weeks ago

Basking Ridge, New Jersey, United States Verizon Full time
Job Description

At Verizon, we're seeking a highly skilled Data Science Principal Engineer to join our team. As a key member of our Digital Marketing & Base Management group, you'll play a pivotal role in defining the strategic direction of our AI products.

Responsibilities include:

  • Developing and communicating a clear product vision and strategy for AI products that align with the company's goals and needs.
  • Performing business analytics on how we implement tools, techniques, or processes to optimize KPI performance.
  • Presenting methodology, reasoning, approach, and learnings to the leadership team.
  • Creating test designs (treat vs control, champion vs challenger) to determine best performing technologies, strategies, or tools.
  • Partnering across stakeholders in DMBM, AI&D, GTS, CXO, and Finance to stakeholder our roadmap and statuses bringing this work to market.
  • Determining value add to the business, and re-socialize among peers and leadership stakeholders.
  • Gaining understanding, alignment, and approval to implement.
  • Determining go-forward optimizations based upon learnings.

Requirements include:

  • Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
  • Experience with Data Warehousing, like Teradata SQL and BigQuery.
  • Experience in Pega Real-Time Decisioning.
  • Experience and high proficiency in project management.
  • Experience creating executive presentations, adjusting messaging for specific audiences and present to all levels of an organization.
  • Quantitative and analytical skills, including experience conducting outside/inside research, analyze data, develop models and drive analyses, and financial planning and analysis skills to set and meet/exceed business targets.

We're looking for a highly motivated and results-driven individual who can thrive in a dynamic environment. If you're passionate about data science and AI, and have a strong background in marketing technology, we encourage you to apply.

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