Senior Engineer Consultant-Data Science

Key Skills

AWS, Data science techniques, Google Cloud Platform (GCP), Microsoft-Excel, Powerpoint, PySpark, Python Programming, R Programming, SQL

Job Description

What You’ll Be Doing:

Data Science:

• Guiding optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction with the knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. and Building frame-works to enable effective measurement of experiments at scale.
• Researching and building 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.
• Building Financial models leveraging Survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives
• Developing 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 etc.
• Generating business insights by using various predictive modeling techniques.

Analytics & Data Enablement:

• Synthesizing 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.
• Leveraging understanding of customer behaviors, strategic thinking, strong financial acumen and cross-functional aptitude to build analytical solutions to make the best-informed decisions.
• Working on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case.
• Guiding the build and enhancement of the Customer Data Platform with 360-degree view of customer and prospect profiles, interactions & demographics.
• Enabling team with Analytical solutions to evaluate marketing campaign’s 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.

Where you'll be working...

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for:

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Predictive / Prescriptive modeling experience.
• Experience in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc).
• Experience with Microsoft Excel and PowerPoint.
• Experience managing 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.
• Experience gathering, organizing and analyzing large amounts of information.
• Experience presenting ideas and content to a variety of stakeholders at various levels.
• Experience working collaboratively with a variety of stakeholders.

Even better if you have any one of the following:

• Ability to translate complex ideas and express them in concise, simple to understand ways.
• Ability to take initiative, influence others and achieve results.
• Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.
• Ability to present and interact with all levels of management.

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 assigned office days set by your manager.

Scheduled Weekly Hours

• 40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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. Check out our diversity and inclusion page to learn more.