Sr Data Scientist (GenAI)

Location: Chicago, Illinois, United States; Flex employees must work in the office at least three days per week.

Base pay: $92,700–$167,500 annually, with eligibility for an annual incentive bonus.

Company

hirify.global provides health insurance and healthcare-related services and supports member health and outcomes.

What you will do

• Apply advanced mathematical and statistical methods to healthcare, member outcomes, provider, internal business, and other data.
• Collect, integrate, analyze, and validate business and experimental data to identify and quantify trends and patterns.
• Build predictive algorithms using machine learning and probabilistic modeling, then verify their effectiveness against real-world results.
• Conduct experiments, create visualizations and interactive analytical applications, and interpret data science findings for business use.
• Design, deploy, evaluate, and improve GenAI and agentic AI solutions, including LLM applications, retrieval, tools, and multi-step workflows.
• Explain technical trade-offs and communicate findings and solution performance to technical and non-technical stakeholders.

Requirements

• Bachelor’s degree plus 3 years of experience, or a master’s degree plus 2 years of experience, in mathematics, statistics, computer science, engineering, physics, economics, or a related quantitative field; alternatively, an actuarial credential, a Ph.D. in a related quantitative field, or 7 years of related experience.
• Strong learning and growth mindset, customer focus, and strong interpersonal, verbal, and written communication skills.
• Proficiency in at least four of six areas: data analysis and relational-style query languages; machine learning or statistical modeling; data visualization; a high-level programming language; distributed computing; and healthcare.

Nice to have

• Master’s or Ph.D. in a quantitative field, or a bachelor’s degree with significant healthcare experience.
• Experience with GenAI evaluation, LLM observability, OpenTelemetry, MLflow Tracing, Arize, enterprise AI platforms, Python LLM frameworks, and cloud production deployment.
• Knowledge of agent architectures, MCP, agent harnesses, single- and multi-agent patterns, secure tool integration, guardrails, human-in-the-loop controls, and agent tracing.
• Hands-on experience with LLM solutions, prompt engineering, RAG, embeddings, structured outputs, agentic workflows, and orchestration frameworks such as LangChain, LangGraph, or comparable tools.
• Experience evaluating GenAI outputs with labeled datasets, automated measures, and human review, including identifying hallucinations, inaccurate retrieval, and unsuccessful tool use.
• Ability to describe GenAI or agentic AI solutions, including the business problem, individual contribution, evaluation approach, and results.
• Experience using AI-assisted development tools while independently validating, testing, and documenting the resulting code or solution.

Culture & Benefits

• Full-time employment with a purpose-driven organization and curated development plans.
• Health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, and paid holidays.
• Employee assistance program, tuition reimbursement, and other total rewards incentives.
• Employment may be contingent on successful drug screening in accordance with applicable law; the workplace is drug-free and smoke-free.

Hiring process

• Applicants referred to the role should ask their HCSC connection about the Employee Referral process.