Senior Engineer Consultant-Data Science

When you join Verizon

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

Verizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world.

We're a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins.

In crisis and in celebration, we come together, lifting up our communities and striving to make an impact to move the world forward.

If you're fueled by purpose and powered by persistence, explore a career with us. Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality.

We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most.

By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities.

Join the team that connects people with quality experiences that give them the best value in wireless.

What You'll Be Doing : Data Science :

Advanced knowledge of experimental design and testing frameworks like A / B testing, Multi-armed Bandit testing, etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth, and customer satisfaction.

Build frameworks to enable effective measurement of experiments at scale.

• Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions.
• Build Financial models leveraging Survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives.
• Develop Customer Segmentation Models and response rate models to help in effective targeting of customers across different base-management initiatives.
• KPI forecasting leveraging time-series forecasting techniques to guide the business on metrics like churn.
• Generate business insights by using various predictive modeling techniques.

Analytics & Data Enablement :

Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D, etc.

to drive successful business outcomes.

• Leverage understanding of customer behaviors, strategic thinking, strong financial acumen, and cross-functional aptitude to build analytical solutions to make the best-informed decisions.
• Work on building either cloud-based predictive modeling solutions (AWS / GCP using Pyspark or similar tools) or general predictive solutions depending on the use case.
• Guide the build and enhancement of the Customer Data Platform with a 360-degree view of customer and prospect profiles, interactions & demographics.
• Enable team with Analytical solutions to evaluate marketing campaign effectiveness and identify areas for optimization.

Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics.

Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns.

Leadership :

• Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D, and others) to drive effective business decisions.
• Be recognized as a subject matter expert and participate in knowledge-sharing sessions.
• Continually broaden and strengthen knowledge of analytical methods, vendors, and tools.

What we're looking for :

You'll need to have :

• Bachelor's degree or four or more years of work experience.
• Three or more years of relevant work experience.

Even better if you have one or more of the following :

• Master's degree.
• Experience with Predictive / Prescriptive modeling.
• Advanced proficiency in SQL, Python ( / R), and data visualization tools (Tableau, Qlik, or native Python or other libraries like Plotly / Streamlit, etc).
• High proficiency with Microsoft Excel, PowerPoint, & Google Suite.
• Experience supporting large complex projects involving multiple work streams and stakeholders.
• Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to senior executives.
• Ability to translate complex ideas and express them in concise, simple to understand ways.

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 work from home and a minimum of eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status.

At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging.

We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best.

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 benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance, and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package.

For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a California, Colorado, Connecticut, Hawaii, Maryland, Nevada, New York, Rhode Island, Washington, or Washington, D.

C. work location, the compensation range for this position is between $110,000.00 and $224,000.00 annually based on a full-time schedule.

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.

J-18808-Ljbffr