Empowering Bandwidth to gain valuable insights from large datasets to support several teams like NOC, TAC, Fraud Operations and Bandwidth as a whole
Requirements
- Experience with development on projects heavily involved with large data sets and statistical methods, preferably in Python
- Familiarity and knowledge with the concepts of machine learning, including data mining and unsupervised learning
- Strong analytical and critical thinking skills, with high attention to detail, and the ability to collect, organize, analyze, and disseminate significant amounts of information
Responsibilities
- Use analytical tools and statistical techniques to build ways for identifying, analyzing, and troubleshooting anomalies, trends and patterns found in network data
- Use data analysis techniques and methods to get accurate and actionable insights across multiple datasets
- Work with development teams to request improvements for statistical techniques and reporting methods
- Work with teams to optimize data-driven workflows; and provide actionable data solutions, data visualization, and analysis results
Other
- Currently pursuing a Bachelor’s degree in math, statistics, computer sciences, or related fields; or Bachelor’s degree in unrelated field plus 2 years work experience in statistical analysis
- Strong communication skills and the ability to simplify and explain information and findings to leadership, team members, and other internal stakeholders
- Highly self-motivated, with the ability to work independently and take ownership of issues, and willingness to overcome challenging problems while identifying opportunities for improvement
