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Principal Data Scientist

DiversityJobs Inc

Howell Township · Hybrid Full-time Lead $121k – $231k/yr 1w ago

About the role

About

When you join Verizon You want more out of a career. A place to share your ideas freely - even if theyre 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.

Responsibilities

  • Build and improve geospatial data products that will guide Verizons distribution strategy
  • Develop and engineer associated distribution machine learning models using standardized programming language (Python, SQL, R) into platforms of insight
  • Develop algorithms to feed data insights regarding new distribution initiatives
  • Manage and enhance automated decision systems that leverage varied data from cross-stakeholder teams within the Consumer organization
  • Lead technical projects, organizing qualitative measurements, timelines, and addressing potential delays.

Work Location

In this hybrid role, you’ll have a defined work location that includes work from home and assigned office days set by your manager.

Requirements

  • Bachelors degree or four or more years of work experience.Six or more years of relevant work experience.
  • Experience in Information Systems, Analytics/Business Intelligence, Engineering, Mathematics, Statistics, or in a related field.
  • Proficiency with Machine Learning Modeling (Regression, Category Boosting, etc.)
  • Experience building Agentic AI Workflows and LLM-based tools to support business operations
  • Experience using Python libraries (Pandas, GeoPandas, Plotly, Shapely, Sklearn etc.)
  • Technical fluency in SQL (Teradata, SQL Server) and Cloud/BI platforms (GCP, Looker, Tableau).
  • Experience delivering reports and analyses that directly influence strategy.

Preferred Qualifications

  • A degree. Preferably an MBA or an M.S. in a relevant field.
  • Deep expertise in Geospatial Analytics and hands-on experience with GIS software (ArcGIS Pro or QGIS).
  • Domain experience in retail distribution or the wireless/telecom industry.
  • An innovation-first mindset with the ability to build new products from the ground up in a fast-paced environment.
  • Experience in management consulting or high-level corporate strategy development.
  • Strong executive presentation skills, with the ability to build consensus across fragmented stakeholder groups.
  • Advanced problem-solving skills, particularly in identifying and resolving complex data discrepancies.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every "even better" qualification listed above.

Schedule

Scheduled Weekly Hours 40

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, weve got you covered with your 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.

Salary

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.

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Requirements

  • Bachelors degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience in Information Systems, Analytics/Business Intelligence, Engineering, Mathematics, Statistics, or in a related field.
  • Proficiency with Machine Learning Modeling (Regression, Category Boosting, etc.)
  • Experience building Agentic AI Workflows and LLM-based tools to support business operations
  • Experience using Python libraries (Pandas, GeoPandas, Plotly, Shapely, Sklearn etc.)
  • Technical fluency in SQL (Teradata, SQL Server) and Cloud/BI platforms (GCP, Looker, Tableau).
  • Experience delivering reports and analyses that directly influence strategy.

Responsibilities

  • Build and improve geospatial data products that will guide Verizons distribution strategy
  • Develop and engineer associated distribution machine learning models using standardized programming language (Python, SQL, R) into platforms of insight
  • Develop algorithms to feed data insights regarding new distribution initiatives
  • Manage and enhance automated decision systems that leverage varied data from cross-stakeholder teams within the Consumer organization
  • Lead technical projects, organizing qualitative measurements, timelines, and addressing potential delays.

Benefits

medical insurancedental insurancevision insuranceshort term disabilitylong term disabilitybasic life insurancesupplemental life insuranceAD&D insuranceidentity theft protectionpet insurancegroup home & auto insurance401(k) savings plancompany paid holidayspersonal dayspaid parental leaveadoption assistancetuition assistancevacation

Skills

AWS LambdaArcGIS ProGCPGeoPandasGISLookerLLMPythonQGISRRegressionShapelySQLSklearnTableauTeradataSQL Server

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