Principal Engineer - Data Science - Irving, TX

When you join Verizon

Verizon is one of the world†s leading providers of technology and communications services, transforming the way we connect across the globe. We†re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward †and you can too. Dream it. Build it. Do it here.



What you†ll be doing .

As a Fraud Data scientist, you will be working with a passionate group of professionals who apply cutting edge AI/ML technology to protect Verizon customer accounts from account takeovers, illegal SIM Swaps, Port Outs etc as well as prevent financial losses resulting from fraudulent activity.

  Lead projects focused on reducing Fraud loss and customer friction involving hands-on data analysis, Machine Learning modeling and other standard data science techniques.
  Translate real world problems into solvable Machine Learning problems leading to actionable insights.
  Respond rapidly to emerging threats, both internal and external, with proactive monitoring and swift deployment of new controls.
  Engage with business partners and collaborate with cross functional teams to define and evaluate business problems, design and implement effective, innovative analytical solutions and models with the right choice of technology and level of complexity for the business challenges.
  Identifies, analyzes, and interprets trends or patterns in large complex data sets. Translate data into insights and utilize that to implement solutions for business problems.
  Apply link analysis to identify hidden connections in the data to proactively detect nascent fraud rings.
  Lead the design and development of ML based anomaly detection and chart overlays.
  Responsible for developing strategies for effective reporting, use graphs, infographics and other tools to visualize data
  Monitor analytics & metrics results and take action.
  Building tools and frameworks to automate data collection.
  Helps define the analytical roadmap, data and technology strategy. Conduct market analysis, research to identify and adopt best in class data science and analytics related technology.

Where you'll be working .

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.



What we†re looking for .

You†ll need to have

  Bachelor†s degree or four or more years of work experience
  Six or more years of relevant work experience
  Experience as a data scientist and preferably worked on a wide array of domains.
  Experience with modeling techniques like Linear Regression, Logistic Regression (Binomial and Multi-Class), Robust Regression, DBSCAN, Text Analytics (NLP), 3 Dimensional Tensor Factorization, Time-Series Analysis, Clustering, Holt-Winter†s Forecasting Technique, Decision Tree Analysis, Boosted Decision Tree Analysis, CNN†s like Resnet, Inception etc.
  Willingness to travel

Even better if you have

  Master†s degree in Math/Statistics/Computer Science or related discipline.
  Knowledge in Background in Predictive Analytics, Machine Learning, Consulting Reporting, and Business Development
  Experience in Risk management/modeling experience.
  Experience with AWS experience is a plus.
  Knowledge in the background in Statistics.
  Experience in Business Intelligence tools like Qlik, ELK
  Experience with Python (including packages like SciKitLearn, NumPy, pandas)
  Experience with SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata)
  Knowledge Graph DB knowledge
  Knowledge Programming Language(s): Experience in combinations of SAS, SQL, R, Python, Java
  Knowledge OS/HW: Experience in Linux/Unix open systems, AWS environment
  Excellent communication skills to present complex ideas and concepts to technical and non-technical audiences.
  Solid experience in writing SQL, stored procedures, query performance tuning preferably on Oracle, PostgreSQL



Notice(s)

Verizon will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.



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.