What you’ll be doing...

We’re looking for a qualified data scientist that can collaborate with multiple teams to lead in the development of predictive modeling solutions throughout Revenue Assurance. The ideal candidate will be an expert in time series analysis and will leverage state of the art machine learning and predictive modeling techniques. You will perform data exploration, cleaning, and analysis as well as identifying key patterns, trends, and anomalies in the data. You will draw upon your knowledge of statistics, modeling, and forecasting to ensure the results are accurate and clear. You will become a SME in Revenue Assurance processes. This includes analyzing and creating data visualization to gain business insights on the anomalies identified by the predictive models. The predictive models will allow Revenue Assurances teams to run better and more efficient.

What we’re looking for...

You have a gift for taking unstructured and messy data, cleaning it, finding key trends and outliers, developing predictive models, and making those models understood by others. You enjoy immersing yourself in the data and want to become the go – to modeling expert. You thrive in a fast-paced environment where new challenges come up every day but you are organized so no balls are dropped. You are comfortable working on your own but you also enjoy collaborating with others. You are a good listener and able to translate the business questions and needs into just the right analysis and model.

You’ll need to have:

  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or four or more years of work experience.
  • Four or more years of relevant work experience.
  • Knowledge of statistical modeling software (R, SAS, or Python).
  • Time series and forecasting knowledge.

Even better if you have

  • Master’s degree in Mathematics, Statistics, Economics, Computer Science, or equivalent work experience.
  • PhD in Mathematics, Statistics, Economics, Computer Science, or equivalent with four or more years of experience.
  • Knowledge on SQL databases.
  • Knowledge on supervised and unsupervised machine learning, general linear models, text analytics, and design of experiments.
  • Exposure to large data environments, such as Hadoop or Aster.
  • Experience in finance.
  • Demonstrated ability to effectively communicate complex ideas to both technical and non-technical colleagues.

When you join Verizon...

You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.

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. Different makes us better.