Hybrid Principal Data Science Engineer: ML Forecasting Lead

Verizon; Alpharetta (GA); Hybrid; USD 121,000 - 231,000; Full time

Job summary

Verizon is seeking a Principal Engineer - Data Science to join the high-visibility Impact Analytics team within the Transformation Command Center. You will act as an advanced IC, combining technical execution with strategic initiative ownership to deliver production-grade analytics and ML solutions that influence executive decisions.

In this hybrid role, you will work across Consumer, Network, and Strategy domains, building scalable data pipelines, time series forecasts, and dashboards to

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Engineering, or a related quantitative field, or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Advanced, independent coding experience in Python and SQL for complex data extraction, feature engineering, and statistical analysis.
• Proven track record building, validating, and deploying Machine Learning models and time series forecasting solutions in enterprise business settings.
• Strong experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Tableau, Grafana).
• Demonstrated ability to independently manage technical project lifecycles, handle complex data pipelines, and present analytical findings to management.

Responsibilities

• Hands-On Technical Execution: Independently query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python.
• Advanced ML & Predictive Modeling: Design, build, validate, and deploy advanced machine learning algorithms (supervised and unsupervised) and robust time series forecasting models to solve complex, ambiguous business problems.
• Initiative & Technical Leadership: Drive high-visibility analytics projects end-to-end—from initial scoping and data extraction to model building, testing, validation, and executive presentation.
• Data Visualization & Insights: Develop intuitive dashboards and visual reporting frameworks (using Matplotlib, Seaborn, Tableau, Grafana, etc.) to translate complex model output into key executive metrics.
• Strategic Stakeholder Partnering: Serve as a consultative technical partner to Consumer, Network, and Strategy teams, translating business challenges into data science workflows and presenting actionable recommendations to leadership.
• Model Rigor & Innovation: Envision and test for corner cases, ensure rigorous model governance and validation, and continuously integrate state-of-the-art AI/ML and forecasting methodologies into the team's repository.

Skills

Python

SQL

Machine Learning

Data Visualization

Project management

Education

Bachelor's degree in a quantitative field

Master's degree

PhD

Tools

Matplotlib

Seaborn

Tableau

Grafana

Spark

Hadoop

Prophet

Job description

Verizon is seeking a Principal Engineer - Data Science to join the high-visibility Impact Analytics team within the Transformation Command Center. You will act as an advanced IC, combining technical execution with strategic initiative ownership to deliver production-grade analytics and ML solutions that influence executive decisions.

In this hybrid role, you will work across Consumer, Network, and Strategy domains, building scalable data pipelines, time series forecasts, and dashboards to