Full Job Description
What you’ll be doing...
You’ll be ensuring that analytics drive continuous business improvements, bringing more profitable growth and an even better customer experience. 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.
Act as thought leader and partner with your business team to shape, prioritize and deliver our strategy for the business unit across data governance, data architecture and Artificial Intelligence/Machine Learning
Partner with business and business AI Catalyst to ensure our organizations strategy is aligned and supportive of wider business unit strategic goals.
Design, develop, implement, and oversee high-end analytical, technology processes and solutions with a focus on leveraging advanced machine learning and artificial intelligence methods.
Build analytical solutions and models by manipulating large data sets and integrating diverse data sources.
Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Apply machine learning and statistical techniques to large data sets to find actionable insights.
Use complex algorithms to develop systems & applications that deliver business functions or architectural components.
Present results and recommendations to senior management and business users.
Communicate the business value of technical solutions.
What we’re looking for...
You are a master at analyzing big data. You thrive in an environment where enormous volumes of data are generated at rapid speed. You’re a creative thinker who likes to explore, and uncover the issues. You are decisive. You are great at influencing up, down, and across groups, and you take satisfaction in mentoring others. Communicating what you’ve uncovered in a way that can be easily understood by others is one of your strengths.
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 in applying statistical ideas and methods to data sets to answer business problems.
Experience with Python and Spark to manipulate data and draw insights from large data sets.
Experience in advanced machine learning algorithms – deep learning, boosting methods, time series etc.
Even better if you have:
Bachelor’s/Master’s degree or PHD in mathematics, statistics, physics, engineering, computer science, or economics.
Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
Experience using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
Discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Experience in deploying trained models on-premise and cloud.
Knowledge of data warehouse and data lake technology (Teradata, Hadoop, No SQL, graph DB).
Ability to drive business results with data-based insights.
When you join Verizon...
You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.
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.