🚨 We're hiring our Founding Data Scientist at Orcana.AI 🚨
This isn’t a job post. This is a call to build the future of data-driven decision-making.
If you’ve spent 5+ years helping business leaders make better decisions through data—whether in-house or in consulting—and you’ve very passionately said to yourself several hundred times:
“Why does translating data to inform decisions feel so painstakingly inefficient? I wish it could be productized!”
_,_we're building the thing you’ve been waiting for.
At Orcana, we believe:
✅ Access: Leaders should get the data they need—when, where, and how they need it
✅ Trust: Insights must be accurate, repeatable, and explainable
✅ Action: Every insight should lead to a clear decision or answer ‘so-what’
We’ve launched, generated measurable profits for enterprise clients (~6x ROI), and are currently incubated at Berkeley SkyDeck. Our customer demand is growing and so is our need to accelerate innovation and ship faster.
You'll be the chief architect scaling Orcanalytics (our secret sauce: an in-house engine) from powerful to unstoppable—100x to 1000x. It seamlessly interfaces with LLMs for natural language understanding and reasoning, then executes data-driven operations to deliver reliable insights and recommendations.
We’re looking for someone who:
🔹 Has bridged the gap between data & decisions at least 1,000 times
🔹 An expert in statistics and data-science; is fluent in Python and SQL
🔹 Can break down massive analytics processes into elegant, modular chunks
🔹 Eager to transform their knowledge and experience into a category-defining product
And about the team?
🎓 UC Berkeley + BITS-Pilani roots
🧠 Built & shipped ML as well as GenAI products for large enterprises
💬 Debates with empathy—best ideas win
🍸 Makes cocktails and bakes at offsites with the same obsession we bring to building the product 😄
If this feels like an opportunity where you’d want to do the best work of your life, click here to learn more about the role and apply.