Staff Data Scientist (AI)

Location: Onsite at the Bentonville, Arkansas, United States office.

Salary: $110,000–$220,000 annually, plus performance-based bonuses and possible stock compensation.

Company

hirify.global's Finance Technology team builds intelligent solutions for Accounts Payable, Post Payment Audit, and financial analytics.

What you will do

• Design, build, and deploy production-scale ML and AI solutions for invoices, claims, payments, audit data, and other complex finance problems.
• Develop and evaluate supervised and unsupervised models for anomaly detection, classification, clustering, ranking, prediction, and statistical analysis.
• Build root-cause analysis, signal-correlation, explainability, and evaluation techniques for financial anomalies, exceptions, audit findings, and agentic AI systems.
• Develop LLM applications, RAG experiences, semantic retrieval, tool-calling workflows, and single-agent or multi-agent systems using approved data and analytical capabilities.
• Partner with Data Engineering and Software Engineering to productionize, monitor, explain, retrain, and maintain ML and AI solutions.
• Contribute to technical design, reusable implementation patterns, documentation, and communication of analytical findings and business impact to technical and business stakeholders.

Requirements

• One of the following minimum qualification paths: a bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 4 years of experience in an analytics-related field; a master's degree in one of these fields plus 2 years of experience; or 6 years of experience in an analytics or related field.
• Hands-on experience in data science, machine learning, statistical modeling, and applied AI.
• Experience building and deploying supervised and unsupervised ML solutions, including anomaly detection, classification, clustering, feature engineering, experimentation, model evaluation, and explainability.
• Experience with production ML solutions, including data preparation, training, batch scoring or serving, monitoring, and feedback loops.
• Experience with LLMs, RAG, semantic retrieval, vector databases, hybrid keyword and semantic search, reranking, structured outputs, tool integration, and agentic workflows.
• Experience with agent orchestration frameworks such as LangGraph, Google ADK, or equivalent, including tool integration, workflow state, and evaluation.
• Experience connecting AI applications to enterprise tools, data, and services through MCP or comparable integration patterns.
• Experience evaluating AI systems for quality, groundedness, reliability, and safe behavior.
• Advanced Python and SQL skills, modern ML frameworks, large-scale transactional, financial, or operational datasets, MLOps practices, cloud ML and AI platforms, and production deployment patterns.
• Strong problem-solving skills and the ability to translate complex business problems into scalable analytical solutions.

Nice to have

• Experience in data science, machine learning, or optimization models.
• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
• Knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and inclusive digital experiences.

Culture & Benefits

• Full-time employment with medical, vision, and dental coverage.
• 401(k), stock purchase benefits, company-paid life insurance, and disability coverage.
• Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, voting leave, and military leave pay.
• Company discounts and adoption and surrogacy expense reimbursement.
• Walmart-paid education benefits covering eligible programs, tuition, books, and fees.