Tech Stack

Description

As a Data Science Intern at Bandwidth, you'll use analytical tools and statistical techniques to build solutions for identifying and troubleshooting anomalies in network data, collaborate with teams to optimize data-driven workflows, and provide actionable data insights and visualizations.

Requirements

• Currently pursuing a Bachelor's degree in math, statistics, computer science, or related field, or a Bachelor's degree in unrelated field plus 2 years work experience in statistical analysis
• Experience with projects involving large datasets and statistical methods, preferably in Python
• Familiarity with machine learning concepts including data mining and unsupervised learning
• Strong analytical and critical thinking skills with high attention to detail
• Self-motivated with ability to work independently and communicate findings to stakeholders

Responsibilities

• Build methods to identify and troubleshoot anomalies, trends, and patterns in network data using analytical tools and statistical techniques
• Analyze multiple datasets to extract accurate and actionable insights
• Work with development teams to improve statistical techniques and reporting methods
• Optimize data-driven workflows and provide actionable data solutions and visualizations