Data Science Manager

3 weeks ago


Old Toronto, Ontario, Canada Investigative Journalism Foundation Full time
{"title": "Data Science Manager", "content": "About the Investigative Journalism Foundation

The Investigative Journalism Foundation is a non-profit newsroom focused on public interest journalism. We are a new kind of media outlet built around databases on who donates to politicians across Canada, who lobbies them, and how the government spends your money.

We believe in a collaborative model and are proud to partner with leading media outlets to ensure our non-profit journalism reaches as wide an audience as possible.

About this Job

This is a full-time staff position. Our office and most of the IJF's team are based in Toronto, but we're happy to hear from candidates based elsewhere in Canada.

We are looking for a player-coach who will manage two full-time developers while also writing code and who is comfortable leading the team as it grows.

Key Responsibilities
  • Expand our existing IJF databases, including Open By Default, the largest collection of internal government documents in Canadian history, and Procurement, our collection of $380 billion in government spending.
  • Build new IJF databases, including Insider Political Trading, a constantly updating tracker of the stocks elected representatives own.
  • Build front-ends for data from our PostgreSQL database.
  • Own the building and managing of www.theijf.li
  • Work with reporters to convert raw data into stories that hold the powerful accountable and make Canada a better place.
  • Manage internal integration with our content management system, Ghost.
Requirements
  • Production experience building websites with good user experience using Javascript, HTML/CSS, and React.js.
  • Experience leading projects and collaborating with stakeholders across the organization.
  • Experience managing developers to help them perform well and achieve the organization's goals.
  • Experience accessing databases using PostgreSQL (or similar).
  • Experience with any of Amazon Web Services, Next.js, or Ghost would be assets.
  • Interest in data visualization and experience displaying complex data in informative and interesting ways.
", "lang_code": "en"}

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