Data Scientist - Agentic AI Systems & Fast-Paced Research

Industrial and Financial Systems; Palo Alto (CA); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Salary Range $140k–$150k annually + 0–

401(k)

Flexible PTO

Job summary

Industrial and Financial Systems (IFS) seeks a Data Scientist with a research mindset to shape agentic AI systems. This full‑time role blends deep analytics with fast experimentation and model development to inform how AI agents reason, plan, and act in dynamic environments.

You’ll work on a cross‑functional team exploring how AI agents learn from real‑world data, adapt to user intent, and interact autonomously—or collaboratively—with users and systems.

Qualifications

• Masters or PhD in Computer Science, Applied Math, Statistics, or a related quantitative field.
• 4+ years of experience in data science, applied ML, or AI research.
• Strong Python and SQL skills with libraries like scikit-learn, PyTorch, LangChain, or similar agentic framework.
• Familiarity with LLMs, retrieval‑augmented generation, RL, and fine‑tuning.
• Comfort with ambiguity, fast iteration cycles, and self‑directed research.
• Excellent communication and storytelling skills to explain complex models clearly.

Responsibilities

• Design and run applied research initiatives informing AI agent behavior and learning loops.
• Build and evaluate models for planning, memory, reasoning, or tool use in agentic systems.
• Develop internal tools and pipelines to test agent behavior across environments.
• Analyze structured and unstructured data from user-agent interactions, logs, and experiments.
• Rapidly prototype and test hypotheses to improve agent performance and reliability.
• Collaborate with engineering, product, and design to translate insights into deployable features.
• Communicate findings clearly to technical and non‑technical audiences.

Skills

Python

SQL

scikit-learn

PyTorch

LangChain

agentic frameworks

Education

Master's or PhD in CS/Applied Math/Statistics

Tools

AutoGen

OpenAgents

LangGraph

Job description

Industrial and Financial Systems (IFS) seeks a Data Scientist with a research mindset to shape agentic AI systems. This full‑time role blends deep analytics with fast experimentation and model development to inform how AI agents reason, plan, and act in dynamic environments.

You’ll work on a cross‑functional team exploring how AI agents learn from real‑world data, adapt to user intent, and interact autonomously—or collaboratively—with users and systems.