Principal Engineer-Data Science

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...

Protect customer accounts from account takeovers, illegal SIM Swaps, and Port Outs, and prevent financial losses from fraudulent activity using cutting edge AI/ML technology. Lead projects to reduce fraud loss using data analysis, and machine learning modeling. Monitor and deploy controls to respond to internal and external threats. Collaborate with cross functional teams and business partners to define and evaluate business problems, and design and implement analytical solutions. Identify, analyze, and interpret trends or patterns in data sets. Translate data into insights and utilize to implement solutions for business problems. Apply link analysis to identify hidden connections in the data to detect nascent fraud rings. Lead the design and development of ML based anomaly detection and chart overlays. Develop strategies for effective reporting. Work on techniques such as Linear Regression, Logistic Regression, Robust Regression, Text Analytics (NLP), Time-Series Analysis, Clustering, Forecasting Technique, Decision Tree Analysis, Boosted Decision Tree Analysis, CNN's like Resnet, and Inception. Visualize data using graphs and infographics. Monitor analytics and metrics results. Build tools and frameworks to automate data collection. Define the analytical roadmap, data, and technology strategy. Conduct market analysis and research to identify and adopt data science and analytics related technology.

What we're looking for...

Bachelor's or foreign equivalent degree in Computer Science, Data Analytics, Business Intelligence and Analytics, or a related field, and 2 years of experience in the job offered or as a Data Scientist, Data Engineer, ML Engineer, or in a related/similar position. Experience therein to include 2 years of experience in data science and risk management field employing modelling techniques such as Linear Regression, Logistic Regression, Robust Regression, Text Analytics (NLP), Time-Series Analysis, Clustering, Forecasting Technique, Decision Tree Analysis, Boosted Decision Tree Analysis, CNN's like Resnet, and Inception. 2 years of experience utilizing Python including packages like SciKitLearn, Numpy, and Pandas. 2 years of experience analyzing risk management using SQL. Coursework or experience in predictive analytics and Machine Learning. Hybrid role, ability to work from home.

Where you'll be working

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

Scheduled Weekly Hours

40

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. Check out our diversity and inclusion page to learn more.