Senior Data Scientist

Obin AI • New York, NY

27d

About The Position

We are seeking Data Scientists to help implement, evaluate, and improve LLM-based applications (agentic applications). As one of our earliest hires, you will work directly with the founders (ex-Google, ex-Silver Lake) and take ownership of key technical decisions from the outset. Your work will involve developing innovative methods to assess the performance of AI systems, monitoring them over time, and optimizing prompts, contexts, and adapters to enhance LLM-based applications. You will also integrate advanced models, proprietary data, and novel architectures to transform business workflows into AI-native processes, validating these systems through rigorous benchmarking and real-world deployment. Furthermore, you will critically explore recent advancements in the field to establish company-wide perspectives and identify innovation opportunities, driving progress through bold experimentation. A key aspect of the role involves applying statistics, machine learning, and data science to streamline investment analysis tasks such as sourcing, screening, due diligence, and asset monitoring.

Requirements

• Experience building with models, not just building models.
• Expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
• Daily use of AI tools like ChatGPT, Cursor, Notebook LM, and Claude Code.
• Strong programming and data analysis skills.
• Bias towards showing vs. telling.
• 8+ years of experience.
• 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

• Develop innovative ways to evaluate the performance of agentic AI systems and track them over time.
• Perform prompt/context optimization and adapter tuning to improve the performance of LLM-based applications.
• Integrate cutting-edge models, proprietary data, and innovative architectures to transform business workflows into AI-native processes.
• Design, implement, and validate AI systems through rigorous benchmarking and real-world deployment.
• Critically explore recent advancements to establish company-wide perspectives and opportunities for innovation.
• Act on opportunities through bold experimentation and drive the state of art forward.
• Apply statistics, machine learning, and data science to streamline investment analysis tasks like sourcing, screening, due diligence, and asset monitoring.

What This Job Offers

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