Principal Engineer - Data Science
About The Position
The Principal Engineer – Data Science joins the high-visibility Impact Analytics team within Verizon’s Transformation Command Center (TCC). This advanced individual-contributor role combines hands-on technical execution with strategic initiative ownership. The engineer independently performs deep-dive data manipulation, advanced statistical modeling, and machine learning, while serving as technical lead on critical analytical projects across the business. Working across Consumer, Network, and Strategy domains, the role transforms large, complex datasets into production-grade predictive models and actionable strategies that identify high-impact financial opportunities for executive leadership. The role requires an expert technical practitioner who can work independently in a fast-paced environment, turn ambiguous business problems into structured, production-ready data science solutions, and communicate the commercial impact of the work to senior stakeholders. The position is hybrid, with a defined work location that includes working from home and a minimum of three days per week in the office. Scheduled weekly hours are 40.
Requirements
- 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, 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 such as Matplotlib, Seaborn, Tableau, or Grafana.
- Demonstrated ability to independently manage technical project lifecycles, handle complex data pipelines, and present analytical findings to management.
Nice To Haves
- Master’s degree or four or more years of hands-on experience in data science, advanced analytics, or predictive modeling.
- Master’s degree or Ph.D. in a quantitative discipline, or an MBA with a strong technical background.
- Five or more years of progressive technical experience in data science, advanced analytics, or quantitative consulting.
- Experience with big data frameworks such as Spark, Splunk, or Hadoop and cloud analytics platforms.
- Advanced expertise in a specialized field such as deep learning, NLP, causal inference, recommendation systems, or advanced time series frameworks such as Prophet, ARIMA, or LSTM.
- Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience.
Responsibilities
- Independently query, clean, merge, and manipulate large structured and unstructured datasets across big data systems using SQL and Python.
- Design, build, validate, and deploy supervised and unsupervised machine learning algorithms and time series forecasting models to address complex business problems.
- Drive high-visibility analytics projects end-to-end, from scoping and data extraction through model development, testing, validation, and executive presentation.
- Develop dashboards and visual reporting frameworks using tools and libraries such as Matplotlib, Seaborn, Tableau, and Grafana to communicate model outputs and executive metrics.
- Partner consultatively with Consumer, Network, and Strategy teams to translate business challenges into data science workflows and present actionable recommendations to leadership.
- Anticipate and test corner cases, ensure rigorous model governance and validation, and integrate current AI/ML and forecasting methodologies into the team’s repository.
- Manage technical project lifecycles and complex data pipelines independently.
- Present analytical findings to management.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Short- and long-term disability insurance
- Basic and supplemental life insurance
- AD&D insurance
- Identity theft protection
- Pet insurance
- Group home and 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
- Other incentives
- Potential premium pay, such as overtime, shift differential, holiday pay, or allowances, depending on the role
- Up to 15 days of vacation per year for newly hired employees, with additional vacation accrued based on service
- Incentive-based compensation with potential to earn more
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
