Job description

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. What you’ll be doing... The Principal Engineer – Data Science joins the high-visibility Impact Analytics team within Verizon’s Transformation Command Center (TCC). In this role, you will operate as an advanced individual contributor (IC) combining top-tier technical execution with strategic initiative ownership. You will work independently to drive deep-dive data manipulation, advanced statistical modeling, and machine learning solutions, serving as the technical lead on critical analytical projects across the business. Working across Consumer, Network, and Strategy domains, you will transform massive, complex datasets into production-grade predictive models and actionable strategies that unlock high-impact financial opportunities for executive leadership. Responsibilities include: 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. What We’re Looking For... You are an expert technical practitioner who thrives in an independent, fast-paced environment. You excel at turning ambiguous business problems into structured, production-ready data science solutions without needing step-by-step direction. You bring deep hands-on expertise in coding, statistics, and machine learning, alongside the business acumen required to articulate the commercial impact of your work to senior stakeholders. You’ll need to have: 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. Even better if you have one or more of the following: Master’s degree or 4 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. 5 years of progressive technical experience in data science, advanced analytics, or quantitative consulting. Experience with Big Data frameworks (Spark, Splunk, Hadoop) and cloud analytics platforms. Advanced expertise in specialized fields (e.g., Deep Learning, NLP, causal inference, recommendation systems, or advanced time series frameworks like Prophet, ARIMA, LSTM). Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience. 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. Where you’ll be working 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.

Requirements

Must-haves

What you’ll be doing...
Hands-On Technical Execution: Independently query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python.
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.
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.
What We’re Looking For...
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.
Even better if you have one or more of the following:
Master’s degree or 4 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.
5 years of progressive technical experience in data science, advanced analytics, or quantitative consulting.
Experience with Big Data frameworks (Spark, Splunk, Hadoop) and cloud analytics platforms.
Advanced expertise in specialized fields (e.g., Deep Learning, NLP, causal inference, recommendation systems, or advanced time series frameworks like Prophet, ARIMA, LSTM).
Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience.
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.
Where you’ll be working
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.

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Keywords to mirror

machine learningsqlpythonmlai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness