Principal Data Science Engineer

About the role

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. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team, transforming raw information into strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.

Responsibilities

• Architect products and assets that support the Consumer Sales Organization, Sales Planning & Operations, and Consumer Base Marketing by developing and performing complex analyses using big data technologies.
• 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.

Requirements

• 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.

Qualifications

Even better if you have one or more of the following:

• 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.

Work Environment

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.

Benefits

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From 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. We also offer 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, plus other incentives, we’ve got you covered with our award-winning total rewards package.

Pay

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. This is an incentive based position with the potential to earn more.

Schedule

Scheduled Weekly Hours 40.