Business questions to ask before taking a startup data role
Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.
Startups
Mentorship and the art of actionable advice
Reflections on what it takes to package expertise and deliver timely, actionable advice outside the context of employee relationships.
Assessing a startup's data-to-AI health
Reviewing the areas that should be assessed to determine a startup’s opportunities and challenges on the data/AI/ML front.
My experience as a Data Tech Lead with Work on Climate
The story of how I joined Work on Climate as a volunteer and became its data tech lead, with lessons applied to consulting & fractional work.
Two types of startup data problems
Classifying startups as ML-centric or non-ML is a helpful exercise to uncover the data challenges they’re likely to face.
Avoiding AI complexity: First, write no code
Two stories of getting AI functionality to production, which demonstrate the risks inherent in custom development versus starting with a no-code approach.
Building your startup's minimum viable data stack
First post in a series on building a minimum viable data stack for startups, introducing key definitions, components, and considerations.
Substance over titles: Your first data hire may be a data scientist
Advice for hiring a startup’s first data person: match skills to business needs, consider contractors, and get help from data people.