Principal Engineer Data Science

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 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.

The Principal Engineer Data Science joins the high-visibility Impact Analytics team within Verizons 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.

• 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-endfrom 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 teams repository.

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.

• Bachelors 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:

• Masters degree or 4 years of hands-on experience in data science advanced analytics or predictive modeling.
• Masters 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 dont meet every even better qualification listed above.

In this hybrid role youll 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.

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

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 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: $120500.00 - $231000.00.