About the department

Cloudflare is looking for an intern to join the Business Intelligence team which is responsible for building large-scale enterprise data lake and EDW from different sources and enabling various product and business teams such as Marketing, Customer Support, Sales, Finance with key business dashboards/reporting, insights and recommendation models.

About the role

As part of this initiative, we are looking for a Data Scientist to join Cloudflare as an intern and help us drive predictive analytic insights and best practices at scale from the ground up. Success in this role comes from marrying a strong data & modeling background with acute product and business acumen to deliver highly strategic and compelling insights that accelerate our business growth and influence our product decisions within Cloudflare.

What we look for: predictive modeling techniques, machine learning, model creation and deployment, storytelling and visualization, strong business & product acumen, cross-functional collaboration, creative problem solving, agile mindset 

What you'll do

• Partner and align with business leaders within Cloudflare.
• Provide exploratory analysis for internal stakeholders.
• Active role in modeling and forecasting with the data science team.
• Define, implement, train, and deploy machine learning, and deep learning models.

Examples of desirable skills, knowledge and experience

• Enrollment in an M.S or Ph.D Program in Computer Science, Electrical Engineering, Physics, or other quantitative business fields.
• Strong experience in scientific computing using Python.
• Experience with SQL, Hive and BigQuery (or any other Big data/Cloud equivalent) etc.
• Experience working with and processing structured, unstructured, and semi-structured data.  
• Strong communication and presentation skills catered to different audiences within the company.
• Capable of working closely with business and data science teams to ensure project scopes are aligned with business needs.
• Sufficient technical background to communicate effectively with Data and Application Engineers.