Senior Data Scientist

Key Skills

Aartificial intelligence, Apache Hadoop, Big Data Technology, Dataproc, ETL frameworks, Google Cloud Platform (GCP), Jupyter Notebook, Machine learning techniques, NoSQL, NumPy, Python Programming, Scikit-learn, SPARK Programming, SQL, Statistical modeling, Teradata, XGBoost

Job Description

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition 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

The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team is a catalyst to Verizon's future with a focus on creating networks that move the world forward through the power of Artificial Intelligence & Data. You will play a key role in developing and delivering the next generation Artificial Intelligence/Machine Learning solutions that generate substantial value for the business and work closely with a team of data scientists, big data engineers, and software developers to implement and deliver use cases for GN&T Planning and Engineering teams. You will act as a thought leader and a forward-leaning partner with your business team to shape, prioritize, and deliver strategy for the business unit across data governance, data architecture, and AI/ML. With your analytical, big data and reporting expertise, you will deliver business value through business intelligence reporting and analytics by driving insights to actions. One way you will accomplish this is by developing analytical views of data utilizing various BI tools such as Tableau, Looker, Qlik, and web-based applications. 

You will be responsible for:

• Designing, developing, and implementing high-end analytical/technology processes and solutions with collaboration with the AI Center to leverage advanced machine learning and artificial intelligence methods.
• Partnering with the business to ensure our organization’s strategy is aligned and supportive of wider business unit strategic goals.
• Developing collaborations across AI&D and Network Systems along with Network Planning and Network Engineering teams including presentation creation, strategic storytelling and effective business stakeholder facilitating.
• Presenting results and recommendations to senior management and business users.
• Managing the delivery of major modules of Network Performance including prioritization of network improvements via measured customer experience.
• Performing ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
• Performing exploratory and targeted data analyses using descriptive statistics and other methods.
• Developing, testing and implementing required models to create new solutions to complex problems that cross multiple business units.
• Creating and documenting new processes and procedures to drive adoption in new technologies and ideas (GCP, Network Digital Twin).
• Driving the standardization of network performance prioritization across multi-platform organizations.
• Detailing and demonstrating solutions by developing wireframes, production documentation, flowcharts, layouts, diagrams, charts, and models.

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 Python, Spark, and SQL to manipulate data and draw insights from large data sets.
• Experience with developing insights, presenting, and influencing strategic decisions using data.

Even better if you have:

• Master’s degree in statistics, mathematics, analytics, engineering, computer science, or another technical and/or financial discipline.
• Experience with Big Data architecture and mining for insights across various data sources.
• Experience using ETL (extract, transform, load) tools and experience with large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Knowledge of data warehouse and data lake technology (Teradata, Hadoop, No SQL, graph DB).
• Knowledge of one or more Verizon Engineering domains: Capacity/Build, Performance, Assurance, Care, etc. including knowledge of associated Network Systems tools.
• Experience submitting enhancement requests for software tools (e.g: Network systems tool enhancements) and navigating approvals process.
• Knowledge of version control, continuous integration or continuous delivery concepts.
• Knowledge and experience applying AI/ML or analytical models (eg: Numpy, Scikit-Learn, Dataproc, Jupyter Notebook, Facebook Prophet, XGBoost, Regressions, Classification, etc.).
• Experience in applying statistical ideas and methods to data sets to answer business problems.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

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 page to learn more.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $86,000.00 and $159,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.