Data Scientist

Obin AI • New York, NY

2h • $150,000

About The Position

Obin AI builds AI agents that automate or assist core workflows in the financial services industry. We’re already working with some of the world’s largest financial services firms with sponsorship from senior leadership.
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.
We believe great AI Engineers come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence.
Obin AI’s Vision:
Private credit is a $1T+ market—and its inefficiencies are holding back small businesses from growing. We’re building the system that unlocks fast, scalable lending decisions—starting with AI agents and expanding into the core infra for private capital markets and other financial services.
About Us:
Obin is reimagining financial workflows with AI-powered agents.
We're building the future of AI-driven financial services. Join our team of innovators and help shape the next generation of intelligent financial systems.
Obin is a rare opportunity: real traction, real revenue, and a chance to rewire a trillion-dollar market. If you're excited to build agentic AI systems that change how capital flows in the real world—we’d love to meet you.

Requirements

• 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.
• 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

Nice To Haves

• Experience in financial systems, risk modeling, or decision automation
• Familiarity with ML training and deployment
• Experience with embedded analytics

Responsibilities

• Evals and Optimization: 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: 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: 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: 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed