Senior 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:

 

●      8+ 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

About Us:

 

Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous monitoring, scalable underwriting, and earlier risk detection — without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate — deploying AI workers directly within live workflows to expand decision capacity under institutional controls.

Obin AI is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.