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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.

Data science is the engine that drives informed decision-making and unlocks the hidden potential within our enterprise data. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.

What you’ll be doing...

You will use data and innovation as fuel to propel Verizon beyond the competition. You will 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.

What we’re looking for...

With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria, allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.

You’ll need to have:

• 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.

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: 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.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

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.

Benefits and Compensation

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. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.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.