Data Scientist - Agentic AI Systems - The Loops

Job Description

We're seeking a Data Scientist with a strong research mindset to help shape the future of agentic AI systems . This role blends deep analytical thinking with fast-paced experimentation and model development, where your insights will directly 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. If you're a self-starter who thrives on ambiguity, builds fast, and can bridge theory with practical outcomes, this role is for you.

Responsibilities

Design and run applied research initiatives that inform the behavior and learning loops of AI agents

Build and evaluate models for planning, memory, retrieval, reasoning, or tool use in agentic systems

Develop internal tools and pipelines to test agent behavior across different 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 and concisely to both technical and non-technical audiences

Qualifications

Qualifications

Minimum Qualifications

Masters or PhD in Computer Science, Applied Math, Statistics, or related quantitative field

4+ years of experience in data science, applied ML, or AI research

Strong Python and SQL skills; experience with libraries like scikit-learn, PyTorch, LangChain or any similar agentic framework

Familiarity with LLMs, retrieval-augmented generation (RAG), Reinforcement Learning, Fine-Tuning

Comfort with ambiguity, fast iteration cycles, and self-directed research

Excellent communication and storytelling skills — you can explain complex models to others clearly

Preferred Qualifications

Experience working with agent frameworks (AutoGen, OpenAgents, LangGraph, etc.)

Background in decision-making models, memory systems, or multi-agent coordination

Exposure to vector databases, embeddings, and custom RAG pipelines

Experience building evaluation frameworks or simulators for agent performance

Experience with LLM Post Training – SFT, DPO, RLHF, GRPO

Who You Are

Curious – You explore the edges of what's possible with AI agents

Action-biased – You ship prototypes quickly and iterate based on evidence

Scientific – You bring structure to messy problems and back claims with data

Independent – You operate autonomously and drive projects end-to-end

Collaborative – You thrive in cross-functional teams and open discussion

Additional Information

What We're Offering

Salary Range : $240,000-280,000 + bonus

Flexible paid time off, including sick and holiday

Medical, dental, & vision insurance

401K with Company contribution

Flexible spending accounts

Life insurance and disability benefits

Tuition assistance

Community involvement and volunteering events

M / F / Disabled / Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at : www.ifs.com / about / careers-at-ifs

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

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