Verizon Consultant Data Science Credit & Fraud in Lake Mary, Florida
What you’ll be doing...
We innovate constantly to help the biggest names in business do business – quicker and smarter. It takes vision. It takes focus. And we apply both every bit as much to the way we do business too. The brightest minds, the latest technologies and pioneering processes are combining to enhance this critical business function within our Credit and Fraud Department in Lake Mary, FL. We’re finding new ways to add value and provide strategic support. This is the kind of work we do. And you can be part of it.
In this strategic analytical support role in the Verizon Credit & Fraud Governance organization, you will be responsible for providing analytical guidance to leadership for operational and strategic decision making. Responsibilities will include the use of data analysis and statistical expertise to support various projects using technical skills to conduct analytical and predictive modeling exercises. We are a team of data scientists, statistical programmers, and risk managers specializing in Consumer and B2B Credit and Fraud risk. We work heavily in R and RStudio, as well as a multitude of specialized data visualization tools to turn massive amounts of data into actionable intelligence for the business.
Utilize advanced data mining and predictive modeling techniques to evaluate/ predict financial results and make recommendations to improve business decision-making.
Solve complex data-related questions by developing new predictive models and improving existing ones.
Build, maintain, and QA production credit models and policies for the Telecom and Wireless Consumer and B2B markets.
Analyze data from various sources to build and assess customer Consumer Value Models as well as survival analysis models to optimize credit and fraud processes for optimal results.
Hands-on review of data sets using SAS/R/Python, statistical analysis, and data visualization tools.
Perform credit and member base KPI management (A/R liquidation, attribution, revenue/loss forecasting, model performance, customer value management, credit policy performance).
Perform business intelligence, data analysis, descriptive statistics and performance validation of existing and potential credit models.
Analyze and interpret data and build quantitative, non-linear, and time-series models using R/SAS/Python.
Determine modeling requirements in the development of standard data sets that will be used for analysis and data mining.
Participate in cross-functional project teams as modeling subject matter expert.
Research new modeling techniques as required to solve a given business problem.
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.
Experience with predictive modeling in R, SAS, and/or Python.
Even better if you have:
A Bachelor’s degree in Mathematics, Statistics, Computer Science, Quantitative Finance, Actuarial Science, or Industrial Engineering or a related field.
Two or more years of experience with predictive modeling in R, SAS, and/or Python.
Familiarity with Git and Version Control.
Strong mathematical, analytical, financial background and attention to detail.
Knowledge of statistical forecasting and data mining techniques; demand pattern recognition, algorithm selection, outlier correction, parameter optimization.
Thorough knowledge of Linear/Logistic Regression and Decision Tree models.
Two or more years of experience in a data mining role with strong quantitative and analytical skills and a proven track record of turning large amounts of multi-faceted data into meaningful information.
Experience writing SQL against large Teradata and/or Oracle datasets.
Functional knowledge of MS Excel and PowerPoint for data manipulation and report creation.
Previous use of Business Intelligence tools, such as Cognos, Business Objects, Tableau, Hyperion SSRS or others.
Demonstrated effective communication skills in both written and verbal formats.
Demonstrated ability to work independently and in collaboration.
Proven ability to thrive in an Agile environment, adapt to changing priorities and meet deadlines.
Experience with any of the following:
Hadoop (+ Hive/Impala/Pig).
Cloud Services (This is AWS, Azure, Google Cloud, etc.).
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.