Staff Data Scientist (AI/ML)

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

Salary: $112,500–$187,500 annually

Company

hirify.global is a financial services and credit information company providing data, analytics, and technology solutions.

What you will do

• Lead complex analytics and AI-enabled consulting engagements from opportunity shaping through solution design, model development, validation, deployment readiness, and monitoring.
• Translate client needs into practical, scalable solutions that deliver measurable business value.
• Provide hands-on technical leadership across machine learning, statistical modeling, generative AI, large language models, retrieval-augmented generation, agentic workflows, MLOps, and responsible AI.
• Own analytics consulting responsibilities for assigned clients and collaborate with Sales, Product, Technology, and industry teams.
• Present analytical insights, model risks, considerations, and recommendations to technical and business stakeholders.
• Mentor, coach, and train junior colleagues and peers while contributing to research, innovation, governance, and process improvement.

Requirements

• Master’s or PhD in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field; a bachelor’s degree in a quantitative field is also accepted.
• At least 6 years of professional analytical experience and 5+ years directly supporting internal or external clients.
• Advanced programming, data engineering, and applied AI/ML skills, including Python and/or R, SQL, cloud analytics environments, distributed data platforms, and modern machine learning frameworks.
• Ability to lead complex analytics and AI-enabled solutions with limited supervision, including design, model development, validation, stakeholder alignment, and delivery coordination.
• Willingness to travel 10–20% of the time.

Nice to have

• Experience with generative AI, large language models, retrieval-augmented generation, agentic workflows, model evaluation, MLOps, model monitoring, and responsible AI/model governance.
• Familiarity with credit bureau data, regulated financial services, credit risk, fraud, insurance, or digital marketing analytics.
• Experience developing reusable analytical assets, documentation standards, governance artifacts, or scalable consulting delivery processes.
• Experience mentoring peers, supporting onboarding or recruiting, and strengthening team culture through feedback and inclusive collaboration.

Culture & Benefits

• Hybrid work with regular virtual and in-person collaboration.
• Medical, dental, and vision coverage available from day one, with HSA and FSA options.
• 401(k) with employer match, Employee Stock Purchase Plan, financial wellness resources, and career coaching.
• Paid parental leave, adoption and fertility assistance, caregiver support, and dependent care benefits.
• Tuition reimbursement, flexible time off or paid time off, paid holidays, commuter benefits, and wellness support.