Senior Engineer Consultant-Data Science

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 V Team Life.

What you’ll be doing...

Data Science:

• 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 frame-works to enable effective measurement of experiments at scale.
• Research and build proof-of-concept models utilizing various machine learning techniques and
  traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives.
• Build Financial models leveraging Survival modeling and other machine learning techniques to 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 etc.
• Generate business insights by using various predictive modeling techniques.

Analytics and Data Enablement:

• Synthesizing predictive insights to concrete business actions and collaborate with stakeholders across the organization 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.
• Guiding the build and enhancement of the Solution specific features & insights with 360 degree view of customer 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.
• Providing insights to refine targeting strategies, messaging, and channel allocation for future campaigns.

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.
• Strong Prescriptive & predictive data science experience.
• Advanced proficiency in SQL, Python (/R), GCP and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc).
• Proficiency 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.
• Ability to translate complex ideas and express them in concise, simple to understand ways.
• Proven ability to take initiative, influence others and achieve results.
• 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.
• 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
• Ability to explain both the code and the underlying math used in algorithms/models.
• Experience in both batch and streaming models in production.
• Knowledge of math, probability, statistics, and AI/ML models.
• Experience in data structures, data modeling and software architecture skills.
• Good cross-functional collaboration skills.

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

• Advanced degree in Computer Science, Mathematics or similar field.
• Experience working in analytical projects in telecom domain.
• Accuracy and attention to detail.
• Experience in data lake (hadoop), SQL, ETL.
• Problem solving, analytical, and research skills.
• Excellent verbal and written communication.
• Experience presenting to and influencing functional leaders and partners.
• Ability to work effectively independently and willingness to learn new technologies.
• Experience working with cross-functional teams in a dynamic environment.

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.