Data Scientist AI Research & Innovation (AI)

Location: Chicago, Illinois, United States; hybrid with in-person work at an assigned hirify.global office at least two days per week

Salary: $112,500–$187,500 annually; eligible positions may also participate in bonus and long-term incentive plans.

Company

hirify.global develops data, analytics, and AI-powered solutions for credit, fraud, insurance, risk, identity, and marketing applications.

What you will do

• Design and develop AI-powered automation solutions for enterprise workflows and business processes.
• Design knowledge management, semantic search, and retrieval systems.
• Research neuro-symbolic AI, reasoning systems, knowledge-enhanced machine learning, agentic AI, causal AI, explainable AI, and human-AI collaboration.
• Design, build, and evaluate proof-of-concepts demonstrating emerging AI technologies in products and services.
• Create repeatable frameworks for assessing AI capabilities, limitations, risks, and business impact.
• Collaborate with engineering teams to transition successful research concepts into production and represent hirify.global through publications and patents.

Requirements

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, Data Science, Applied Mathematics, Engineering, Operations Research, or a closely related quantitative discipline.
• 8+ years of professional experience in Classical AI, machine learning, ontology-based knowledge representation, and knowledge graphs.
• Strong foundation in one or more of graph neural networks, automated reasoning systems, search and planning algorithms, causal inference and causal modeling, probabilistic graphical models, or explainable and trustworthy AI.
• Advanced programming skills in Python and familiarity with modern AI development frameworks.
• Familiarity with consumer data, fraud detection, financial services, risk analytics, identity, or marketing applications.

Nice to have

• Experience with agentic workflows, multi-agent systems, tool calling, retrieval-augmented generation, knowledge graphs, vector search, natural language processing, and text classification.

Culture & Benefits

• Hybrid work with regular virtual and in-person collaboration, access to cloud computing environments, large-scale datasets, and AI research infrastructure.
• Medical, dental, vision, HSA, FSA, disability, life insurance, and wellness support are available.
• Paid parental leave, adoption and fertility support, caregiver resources, and dependent care benefits are offered.
• 401(k) with employer match, employee stock purchase plan, tuition reimbursement, career coaching, paid time off, paid holidays, and commuter benefits are available.
• The workplace emphasizes curiosity, innovation, scientific exploration, diversity, and equal employment opportunity.