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What You’ll Be Doing...
The Verizon’s Artificial Intelligence and Data organization is seeking an Engr III Spec-Data Science. You will be responsible for delivering insights for driving business growth through data-driven decision-making from identifying the right data, conducting research and analyses to gather data and deciphering large data. You will work with large complex data and bring reliable and scalable real-time insights. You will apply advanced state-of-the-art end-to-end analysis techniques and algorithms to provide a best-in-class customer experience.
Your Core Responsibilities Will Include
- Applying critical thinking and analytical thinking to complex data problems to deliver data analysis projects, including data wrangling, analysis, and visualization.
- Making recommendations for network capacity planning, performance optimization, and proactive anomaly detection based on data, with excellent visual representations and compelling data narratives for critical network business decisions.
- Exploring cutting-edge research in the data science field and utilizing open-source research results for the continuous improvement of network operations, performance monitoring, and customer-facing network products.
- Working effectively in a matrix organization, influencing and partnering with cross-functional teams by collaborating with Network Engineering, Operations, Planning, and other cross-functional teams to identify opportunities to improve network efficiency, resilience, and the overall subscriber experience.
- Developing a comprehensive understanding of diverse network data sources (e.g., cell site logs, core network records, performance counters) and the complexity of multiple network systems. You will build seamless data pipelines to visualize network performance data at scale with high accuracy.
- Working hands-on with massive network datasets across Teradata, Hive, Spark, Tableau, Postgres, and other big data systems within Verizon's grid computing infrastructure.
- Mentoring and developing the data science team.
What We’re Looking For...
You possess strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications for complex network and network churn problems. You will develop end-to-end analytical solutions and effectively communicate sophisticated insights and findings to leadership. You work independently, are always willing to learn new network technologies, and thrive in a dynamic environment where you interact with various network engineering, operations, and planning partners and cross-functional teams to implement data science-driven network solutions.
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 in one or more languages like Python (with libraries such as Numpy, Pandas, scikit-learn, Keras, TensorFlow, PyTorch), Java, or R for developing ML models on network data.
- Strong knowledge of supervised, unsupervised, semi-supervised, and reinforcement learning, with a focus on their application to network data challenges.
- Extensive experience with Machine Learning, Statistics and Probability, Deep Learning, especially in areas like network anomaly detection, predictive maintenance, traffic forecasting, capacity optimization, and root cause analysis in a telecommunications context.
- Experience with Visualization tools such as matplotlib, seaborn, Tableau, Grafana, etc., for presenting network insights.
- Demonstrated experience writing complex queries for reporting, analysis, and extraction of network telemetry and performance data from big data systems.
Even better if you have one or more of the following:
- Deep knowledge of big data tools (SQL, Spark, and Splunk) for manipulating and mining large-scale network datasets.
- Understanding of telecommunications network architecture (e.g., 4G LTE, 5G NR, Core Network, Radio Access Network/RAN) and key network performance indicators (KPIs).
- Ability to work in a fast-paced, dynamic work environment.
- Excellent interpersonal, verbal, and written communication skills.
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 Hours40Equal Employment OpportunityVerizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
