Build and improve geospatial data products that will guide Verizon’s 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.

Requirements

Bachelor’s 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.

Benefits

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
matched 401(k) savings plan
up to 8 company paid holidays per year
up to 6 personal days per year
paid parental leave
adoption assistance
tuition assistance
up to 15 days of vacation per year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLRMachine Learning ModelingRegressionCategory BoostingAgentic AI WorkflowsLLM-based toolsPandasGeoPandas

Soft Skills

leadershiporganizational skillscommunicationproject management

Certifications

Bachelor's degree