verizon Data Scientist in Boston, Massachusetts
When you join Verizon
Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose 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...
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 Business Analytics Center or Excellence. 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 role, you will be responsible for providing analytical guidance and support to leadership for operational and strategic decision making in the bad debt and collections space. Responsibilities will include the use of data analysis and statistical expertise to support various projects across all facets of the business, using technical skills to conduct analytical and predictive modeling exercises.
Build, maintain, and collections scoring models.
Monitor KPI’s across the entire base and synthesize trends into budget and forecast guidance.
Perform business intelligence, data analysis, descriptive statistics and performance validation of existing and potential risk models.
Solve complex data-related questions by developing new predictive models and improving existing ones.
Research and develop new modeling techniques as required to solve novel business problems.
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 subject matter expert in the development of credit risk models.
Effectively communicate technical subjects with peers and stakeholders at all levels of the business.
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.
Experiencewith Scala or Java, Python, R or MatLab, and SQL.
Experience with applied statistics including regression models.
Even better if you have one or more of the following:
A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
Four or more years of experience in developing and implementing analytical solutions to complex business problems/opportunities.
Four or more years of active experience in Data management, analysis and visualization to realize absolute and incremental commercial gains.
Experience working in the Consumer/Retail space within the Financial Services, Telecommunications, Technology or other related mass market industries or related work in the Public Policy, Bio-statistics and Scientific Research industries.
Experience in a corporate finance environment supporting reporting, analysis, budget creation, or accounting.
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 (https://www.verizon.com/about/careers/work-culture) page to learn more.
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