Distinguished Engineer - Data Science

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...

The Financial Planning and Analytical Services team is the advanced analytics arm for Finance that is focused on delivering cutting-edge solutions for Decision Guidance and Decision Management. The incumbent will be responsible for the development, maintenance, and implementation of Credit Risk Models used in optimizing Consumer and Business (Small, Medium, Large Businesses) credit policies for Mobile and Home portfolios using Verizon Internal data and 3rd party data (Credit Rating Agencies and Consumer Reporting Agencies). In the role of Distinguished Engineer-Data Science, you will:

• Develop, maintain and deploy Verizon proprietary Credit Risk Models and Scores using both traditional statistical and ML techniques.
• Collaborate with Business Units (Marketing, Sales, Finance) and Operations in identifying opportunities to drive operational efficiencies to optimize Growth and Profitability.
• Partner with Internal Data Architects, Platform Engineers and Credit Reference Agencies for scaling efficient End-to-End solutions for Credit Risk Optimization.
• Partner with AI Model Governance and Legal to push the boundaries on Verizon AI /ML capabilities in Credit Underwriting and Decision space.
• Explore opportunities to leverage cross-industry best practices in the credit risk modeling space through peer-to-peer networking and external collaboration.
• Unleash capabilities and computational power from traditional and cloud-based platforms for driving efficient End-to-End data science solutions.
• Mentor junior members and develop solid technical foundation for the team.

What we're looking for...

You are a Subject Matter Expert in applying AI/ML techniques in Credit Risk Modeling space that is eager to work in a collaborative environment with global teams to solve complex business problems, and develop end to end analytical solutions. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Experience with Data Science and Machine Learning (aka A.I.), including but not limited to Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning
• Experience in implementing model-based decision engines to drive business performance and operational excellence.
• Proficiency in one or more languages like R, Python and knowledge of CI/CD and containerization (Docker, Kubernetes, etc.).
• Demonstrated ability to work in a fast paced, dynamic work environment.

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

• Advanced degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Econometrics or Operations Research
• Excellent interpersonal, verbal and written communication skills.
• Knowledge of big data tools (SQL, Spark, and Splunk) i.e., manipulating mining data from these systems
• Ability to develop advanced analytics in multiple platforms including GCP, AWS, Hadoop Clusters as well as Teradata.
• Experience in GenAI and augmenting, fine tuning LLM solutions.

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.

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