Data Scientist - Agentic AI Systems - The Loops

Reposted 25 Days Ago
San Francisco, CA
In-Office
240K-280K Annually
Mid level
Information Technology • Software
The Role
The Data Scientist will lead research to enhance AI agents' capabilities through model development, data analysis, and collaboration with cross-functional teams.
Summary Generated by Built In
Company Description

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. 

As we grow, we’re looking for driven, collaborative and ambitious individuals to help us deliver the future of AI-powered operations

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

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

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

Top Skills

Langchain
Llms
Python
PyTorch
Reinforcement Learning
Scikit-Learn
SQL
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The Company
HQ: Linköping
6,788 Employees
Year Founded: 1983

What We Do

IFS develops and delivers enterprise software for companies around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. Within our single platform, our industry specific products are innately connected to a single data model and use embedded digital innovation so that our customers can be their best when it really matters to their customers – at the Moment of Service. The industry expertise of our people and of our growing ecosystem, together with a commitment to deliver value at every single step, has made IFS a recognized leader and the most recommended supplier in our sector.

Our team of 5,000 employees every day live our values of agility, trustworthiness and collaboration in how we support our 10,000+ customers. Learn more about how our enterprise software solutions can help your business today at ifs.com.

Follow us on Twitter: @ifs
Facebook: www.facebook.com/ifsdotcom
Instagram: www.instagram.com/ifsdotcom

Visit the IFS Blog on technology, innovation and creativity: https://blog.ifs.com/

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