Principal Data Science Engineer

What You’ll Be Doing...

• Transform raw information into strategic intelligence that shapes customer behaviors and market trends.
• 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.
• Guide peers through system usage assessments.
• Lead process improvement initiatives and ensure rigorous data quality standards.
• Apply sophisticated UI/UX design principles to data visualization.
• Stay at the forefront of modeling techniques and emerging industry trends to keep Verizon’s analytics ecosystem "ahead of the game."

What We’re Looking For...

• A bachelor’s degree or equivalent experience.
• Six or more years of relevant work experience.
• Experience in data management, analysis, and visualization.
• Experience with Looker & Qlik or similar visual analysis tools, optimization, analytics, and large data sets.
• 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 languages like SQL.
• Experience in designing, developing, and implementing ETL processes.

Even Better If You 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.
• 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.

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.

Benefits And Compensation

• Health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance.
• A matched 401(k) savings plan.
• Up to 8 company-paid holidays per year and up to 6 personal days per year.
• Paid parental leave.
• Adoption assistance and tuition assistance.
• Other incentives.

Salary Range

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.