Verizon Principal Data Scientist in Basking Ridge, New Jersey
What you’ll be doing...
Our Human Resources (HR) Data and Analytics team ensures that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. As a part of this team and as a Principal Data Scientist, you’ll define the analytics strategy and champion that strategy across the business, in order to create buy in for data-driven decision making. Your end goal is to recommend improvements that will go straight to the bottom line, by helping us serve our customers.
You will be responsible for driving strategic workforce initiatives and enabling decision-making to optimize attraction, productivity, engagement, and retention of workforce. You will be responsible for data analysis including data structuring, mining, modeling, and visualization. We’ll look to you for your project management expertise so that we can deliver the best outcomes for the business and in turn, to our customers.
Analyzing the needs of internal clients to prioritize, developing, and executing project plans to identify initiatives and manage partner agreements, deliverables and timetables.
Effectively formulating business and workforce problems to design and implement creative solutions through analytics and predictive modeling.
Identifying data sources and building data sets to perform statistical analyses.
Performing model assessment, validation, and enhancement activities.
Creating what-if scenarios and developing algorithms to forecast and predict workforce behavior
Evaluating effectiveness of processes and measuring the impact and ROI of changes associated with recommend solutions
Generating and disseminating actionable data, insights, and recommendations through clear, succinct reports and presentations to senior leadership and stakeholders to drive strategic workforce initiatives and HR operations.
Partnering with Information Technology and Human Resources Information Services to effectively migrate analytical models from prototype to production.
Driving understanding, adoption and application of analytical model results with end-users by translating technical findings into simple and succinct readouts to stakeholders.
What we’re looking for...
You'll need to have:
Bachelor’s degree in Operations Research, Applied Statistics, or a related field or four or more years of work experience.
Six or more years of relevant work experience.
Experience developing and implementing statistical models.
Experience with both structured and unstructured data.
Experience with SQL, SAS, or SPSS.
Experience with data visualization software such as Qlik or Tableau.
Even better if you have:
Master's degree in Operations Research, Applied Statistics, or a related field with emphasis on quantitative methods.
Ability to condense and structure large datasets for analytics.
Strong verbal, written communication and interpersonal skills to articulate linkage between business needs and analytical findings.
Strong analytical, critical thinking and decision‐making skills.
Strong project management, negotiation, and influencing skills.
Ability to work independently and effectively manage concurrent projects, multiple priorities, and make trade-offs to deliver effective solutions in a timely fashion.
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.
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