Data Science and Engineering Summer 2023 Internship
Dataherald is a Y Combinator backed SaaS start-up which helps companies, no matter how big or small, better leverage the world’s data to create business value. We do this by providing a no-code software to automate the ingestion, transformation, analysis and visualization of data from multiple sources without ever needing to code. Our product manages the data needs end-to-end so that businesses can focus on their goals without worrying about the complexity of large datasets. Furthermore, leverage our data pipelines by generating programmatic content for clients (SEO-optimized landing pages, ABM, etc). Dataherald was launched in 2020 and has grown 10x in the last year. We currently work with leading media publishers like Chicago Tribune, Sacramento Bee etc. and are backed by a mix of Silicon Valley and media institutions such as Y Combinator, Bertelsmann Digital Media Investments (BDMI), and Garage Technology Ventures.
About the Role
The Data Science and Engineering intern will work closely with the CTO and Founding Data PM and play a key role in developing the company's data practice. In this role, you will:
- Propose and own machine learning and statistics projects, both internal and external
- Identify and investigate new data sources to add to our application
- Build and maintain dynamic data ingestion pipelines
- Curate DataFeeds (custom visualization templates) for users to ingest piped data
- Assist in our programmatic content generation practice