Senior Data Scientist (Operations Research)

Location: Remote within the United States; occasional travel for team offsites, client events, or company gatherings. Chicago and San Francisco offices are available as an option.

Salary: $175,000–$200,000 depending on geography and level of experience, plus equity and an annual bonus.

Company

hirify.global is a digital health company providing a value-based specialty-care marketplace that connects self-insured employers and plan sponsors with vetted specialty-care providers.

What you will do

• Redesign care-navigation workflows, queue structures, triage, staffing, and work allocation across multiple workforces.
• Analyze event data to identify where time and capacity are consumed across the multi-step care process.
• Build queueing-based capacity models to support staffing plans and operational trade-offs.
• Design experiments for care-model and workflow changes, use causal inference when randomization is not possible, and monitor results after launch.
• Develop fair performance measures that distinguish workload from skill and build trust with operational teams.
• Build routing, allocation, prioritization, and stopping policies that respect capacity, skill, and licensing constraints.

Requirements

• Experience redesigning a real operation, such as a workflow, queue structure, or staffing model, with adoption by frontline teams and a measured result.
• Experience mapping multi-step, multi-workforce processes from event data, identifying lost time and capacity, sizing capacity to demand, and improving operational structure.
• Experience framing operational problems as assignment, routing, or allocation problems and shipping solutions used by people with an optimization library or solver such as OR-Tools, Gurobi, or PuLP; ability to choose a strong heuristic when appropriate.
• Experience designing operational-change tests with agreed success measures, monitoring after launch, and estimating causal effects from observational data when randomization is unavailable.
• Experience building performance and outcome measures that separate workload from skill, including survival and hazard models for censored, time-to-event data.
• Ability to identify confounders, distinguish association from effect, and validate AI-assisted work.
• Production-quality Python and SQL skills.
• Ability to translate operational problems into well-posed analytical problems and results into concrete frontline actions.
• Understanding of minimum-necessary access to sensitive healthcare data.

Nice to have

• Experience with sequential decision-making, including bandits or optimal stopping.
• Experience with simulation, workforce scheduling, process mining, hospital patient flow, capacity management, or other healthcare operations.
• Background in industrial or systems engineering, operations research, healthcare operations, or data science.

Culture & Benefits

• Remote-first work with flexible working hours, flexible schedules, and employees throughout the United States.
• Flexible PTO, 15+ paid holidays, Summer Fridays, and an annual December holiday shutdown.
• Paid parental leave, health, vision, and dental insurance, Employee Assistance Programs, and a 401(k) retirement plan.
• Stock option plan and performance bonus for eligible employees.
• Collaborative, autonomous environment with support, healthy feedback, diversity initiatives, and employee resource groups.
• Occasional opportunities to connect in person through offsites, client events, and company gatherings.

Hiring process

• hirify.global communicates with candidates only through an @carrumhealth.com email address.
• Interviews are not conducted through text or messaging apps, and candidates are never asked for financial information or fees.