Data Scientist

The Role

We're looking for Data Scientists who will help implement, evaluate, and improve

LLM-based applications (agentic applications). You’ll join our team as one of

our earliest hires. You will work directly with the founders (ex-Google,

ex-Silver Lake) and own key technical decisions from day one.

You’ll work on:

● Evals and Optimization

You develop innovative ways to evaluate the performance of agentic AI systems,

track them over time, and perform prompt/context optimization and adapter tuning

where necessary/appropriate to improve the performance of LLM-based

applications.

● Applied Research 0→1 System Design

You integrate cutting-edge models, proprietary data, and innovative

architectures to transform business workflows into AI-native processes. They

design, implement, and validate these systems through rigorous benchmarking and

real-world deployment.

● Exploratory Research – Bold, Big Bets

You critically explore recent advancements drawing from the full breadth of

related exploratory efforts to establish company-wide perspectives and

opportunities for innovation. You act on these opportunities through bold

experimentation, and drive the state of art forward.

● Data-driven investment decisions

You understand the work of an investment analyst and can find ways to apply

statistics, machine learning, and data science to streamline tasks like

sourcing, screening, due diligence, and asset monitoring.

Experience Required:

● Experience Building with Models, not just Building Models

We develop intelligent systems using models rather than training or fine-tuning

them. Ideal candidates have expertise in compound AI systems, agentic

collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts,

etc.).

● Uses AI Every Day

Before you can revolutionize someone else’s workflow, you need to revolutionize

yours. You should be using tools like ChatGPT, Cursor, Notebook LM, and Claude

Code to accelerate your workflow.

● Strong Programming and Data Analysis Skills

You need to have strong programming skills to be able to prove-out your ideas.

● Biases Towards Showing vs. Telling

Our customers want to see the power of AI today vs discuss the most elegant idea

that will take 5 years to realize.

We believe great Data Scientists come from diverse backgrounds and are unified

by deep curiosity, pragmatism, and engineering excellence.

You Have:

● 5–10 years experience

● A deep understanding of how to design and evaluate LLM-based

applications

● Ability to interpret statistical insights to non-technical or executive

audiences

● Strong programming skills

Bonus:

● Experience in financial systems, risk modeling, or decision automation

● Familiarity with ML training and deployment

● Experience with embedded analytics