Description:
Key Responsibilities
As a Data Product Lead, your main responsibilities will include:
- Build our data offering - we plan to curate data updates in a newsletter, which we want to be the best resource in the world to stay informed about AI. You will lead this, producing each issue, writing the content, and determining the best format.
- Take our data insights to the next level in terms of positioning, presentation, and writing. You will support analysts and researchers to produce great work with your guidance, particularly in delivering polished outputs that will engage readers.
- Lead the process around preparing weekly data insights. This is a mixture of timing practicalities (deadlines and check-ins), and ensuring that methodological issues are resolved promptly.
- Help select what data we collect, how we collect it, and how it will translate into data insights. The rest of Epoch will help you here, but ultimately, you will play a key role in positioning our data products.
What we are looking for
We think you would be a great candidate for this role if you:
- Have a product-oriented mindset, and are able to imagine and execute ambitious projects advancing our mission of informing the public about the trajectory of AI.
- Have experience leading research focused on data analysis, and thrive on boiling down high-level problems into tractable analyses. You must be able to rapidly and independently execute data insights following a rigorous methodology - and support and guide other team members to do this themselves.
- Are highly self-directed and passionate about AI research - we’re hoping you will be actively following the literature, and would be familiar enough to immediately start brainstorming methodology for insights on key topics.
- Have excellent writing and presentation skills, especially for publicizing research beyond typical academic publishing.
- Are comfortable with remote work and asynchronous collaboration using G Suite and other technologies (we're a remote-first organization with staff in multiple time zones).