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Obin AI

Senior Data Scientist

Obin AI New York, New York, United States

Financial Services · 11-50 employees

Sep 12
Remote data-scientist Senior (5-10 yrs) Full-time United States
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About the role

You will implement, evaluate, and improve agentic AI systems while integrating cutting-edge models into business workflows. Additionally, you will conduct exploratory research and apply data science techniques to streamline investment-related tasks.

What they look for

LLM-based applications Agentic AI Prompt optimization Context optimization Adapter tuning System design Benchmarking Statistics Machine learning Data science Compound AI systems ReAct Graph-of-thoughts Programming Data analysis

Requirements

Candidates must have 8+ years of experience with a deep understanding of LLM-based application design and evaluation. Strong programming skills and a pragmatic approach to showing AI capabilities are essential.

Full description

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

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