
Data Scientist - IFS - Palo Alto, California, United States
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Job Description
We are 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. Key responsibilities include designing and running applied research initiatives, building and evaluating models for planning, memory, retrieval, reasoning, or tool use, developing internal tools and pipelines, analyzing structured and unstructured data, rapidly prototyping hypotheses, collaborating with engineering, product, and design teams, and communicating findings clearly. Qualifications include a Masters or PhD in a related field, 4+ years of experience, strong Python and SQL skills, familiarity with LLMs, RAG, RL, and experience with agent frameworks, vector databases, and evaluation frameworks. The role requires curiosity, action-bias, scientific rigor, independence, and collaboration. We offer a salary range of $140,000 to $150,000 annually plus bonus, flexible paid time off, health insurance, 401K, tuition assistance, and community involvement. Join us to make a positive impact on the world.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 97 |
| Remote | 8 |
| Espoo, Finland | 3 |
| Remote - Finland | 2 |
| Remote - North America | 2 |
| Remote - EU | 1 |
| Europe | 1 |
| Role type | Active listings |
|---|---|
| Account Executive | 7 |
| Sales Executive | 7 |
| Product Manager | 4 |
| Human Resources Specialist | 4 |
| Software Engineer | 4 |
| Strategic Account Executive | 3 |
| Cloud Engineer | 3 |
| Project Manager | 3 |
| Industry Principal | 2 |
| Business Solutions Architect | 2 |
| Presales Consultant | 2 |
| DevOps Engineer | 2 |
| Enterprise Account Executive | 2 |
| Director | 2 |
| IT Trainer | 2 |
| Cloud Solution Engineer | 2 |
| Solution Architect | 2 |
| Business Development Representative | 2 |
| System Engineer | 2 |
| Solutions Consultant | 2 |
| Platform Engineer | 2 |
| Product Designer | 1 |
| AI Internship | 1 |
| Senior Consultant | 1 |
| Data Transformation | 1 |
| Client Services | 1 |
| Implementation Consultant | 1 |
| Internal Communications Manager | 1 |
| Channel Deal Desk | 1 |
| Solution Marketing Manager | 1 |
| Marketing Campaigns Manager | 1 |
| AI Engineer | 1 |
| Delivery Director | 1 |
| Manager | 1 |
| Privacy & Data Protection Lead | 1 |
| SaaS Operations Engineer | 1 |
| Marketing Campaign | 1 |
| ServiceNow Platform Engineer | 1 |
| Payroll Executive | 1 |
| ERP Presales | 1 |
| Cloud Engineer / Senior Cloud Engineer | 1 |
| Customer Success Manager | 1 |
| Consultant | 1 |
| Engineer | 1 |
| Solution Marketing | 1 |
| Key Account Executive | 1 |
| Solution Consultant | 1 |
| Security Operations Center Analyst | 1 |
| Engineering Director | 1 |
| Demand Generation | 1 |
| Pre-Sales Consultant | 1 |
| Social Media Manager | 1 |
| Marketing Campaigns Specialist | 1 |
| Commercial Lead | 1 |
| Solutions Consulting Director | 1 |
| Regional Account Executive | 1 |
| Industry Leader | 1 |
| Deal Desk Specialist | 1 |
| Vice President, Commercial Operations | 1 |
| Data Scientist | 1 |
| Account Director | 1 |
| HubSpot Administrator | 1 |
| Business Development | 1 |
| Undergraduate Trainee | 1 |
| Renewals Business Support Specialist | 1 |
| HR Generalist | 1 |
| Sales Director | 1 |
| Security Analyst | 1 |
| Aerospace and Defense Marketing Manager | 1 |
| Deployment Engineer | 1 |
| Architect | 1 |
| Global Campaigns Specialist | 1 |
| Development Lead | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 80 |
| Senior | 12 |
| Manager | 2 |
| Entry-level | 1 |
IFS appears in 114 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote, and Espoo, Finland.
Data shown is based on historical job postings from our database.
Job Details
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
Requirements
- Masters or PhD in Computer Science, Applied Math, Statistics, or related field
- 4+ years of experience in data science, applied ML, or AI research
- Strong Python and SQL skills
- Experience with scikit-learn, PyTorch, LangChain or similar frameworks
- Familiarity with LLMs, RAG, Reinforcement Learning, Fine-Tuning
- Comfort with ambiguity, fast iteration, self-directed research
- Excellent communication and storytelling skills
Education Level
None requiredBenefits & Perks
