Senior Data Scientist, Operations Research (Care Operations)

Responsibilities

You will redesign care delivery workflows and capacity models to optimize operations across a multi-step, multi-workforce process. You will act as a thought partner to leadership, using data-driven insights and rigorous testing to improve operational efficiency and patient outcomes.

Requirements

The ideal candidate has a background in operations research, industrial engineering, or data science with proven experience in redesigning operational workflows. You must be proficient in Python and SQL, with the ability to translate complex operational problems into actionable, data-backed solutions.

Skills

• Operations research
• Data science
• Python
• SQL
• Queueing theory
• Causal inference
• Capacity modeling
• Workflow optimization
• Industrial engineering
• Systems engineering
• Process mining
• Workforce scheduling
• Statistical modeling
• Healthcare operations
• Optimization algorithms

Benefits

• Stock option plan
• Performance bonus
• Flexible schedules
• Flexible PTO
• Paid parental leave
• Health insurance
• Vision insurance
• Dental insurance
• Employee Assistance Programs
• 401K retirement plan
• Summer Fridays

About this role

At Carrum Health, we have built a unique marketplace for specialty care with
unparalleled patient experience

Since 2014, we have been rewiring a fundamentally broken healthcare system. By
connecting large employers directly with the nation's top-tier providers, our
platform replaces a flawed fee-for-service model with one that actually works.
If you are passionate about solving complex economic problems, driving systemic
change in our healthcare system, and thriving in a people-first culture, we want
you on our team. As a high-growth health tech company, we are seeking
high-performing, exceptional talent to scale our platform and ensure that anyone
in the country facing a specialty procedure has access to the life-changing
Carrum benefit. 

Our marketplace creates massive value for all stakeholders:

* For Employers (Demand): Predictable, transparent pricing that slashes
specialty care costs by up to 45% and eliminates waste

* For Providers (Supply): Ability to gain market share while reducing
administrative burden, empowering top-tier doctors to focus completely on
delivering optimal care.

* For Members (Users): A life-changing benefit with dedicated concierges, VIP
access to the nation's best specialists, and little-to-no out-of-pocket
costs.

The salary range for this role is $175,000 - $200,000 depending on geography and
level of experience, plus equity and an annual bonus.

Our care navigation team guides members from their first conversation with us
through treatment and recovery. It’s a 10-step process with many actions at each
step, carried out by care navigators, patient access coordinators, and nurses,
and there’s significant room to grow how much it can deliver.

We’re seeking a Senior Data Scientist with an operations research or industrial
and systems engineering mindset to make this operation better: redesign how the
work flows, prove which changes work, and keep monitoring them. If you’ve
improved patient flow in a hospital or throughput on an operations floor and you
love the rigor of measuring what actually worked, this role is for you.

You’ll be part of our Data team and work day-to-day with care operations
leadership as a thought partner, bringing options and a recommendation, not just
analysis.

You’re excited about this opportunity because you will...

* Redesign how care gets delivered: Shape how work flows and is divided across
workforces, from queue design and triage to staffing, and name the structural
fixes before reaching for algorithms.

* See the whole operation: Use our event data to find where time and capacity
go across a multi-step, multi-workforce process.

* Size capacity to demand: Build capacity models grounded in queueing
fundamentals that leadership uses to plan staffing and make trade-offs.

* Turn ideas into answers: Design the tests for care model and workflow changes
so each one ends in a clear answer, use causal inference when a test isn’t
possible, and monitor changes after launch.

* Measure performance fairly: Build measures that separate workload from skill,
and that the team trusts.

* Optimize under real constraints: Build routing and work allocation that
respect capacity, skill, and licensing. As the operation matures, extend this
to prioritization and stopping policies that people follow every day.

We’re excited about you because…

* You’ve redesigned an operation that people adopted: You’ve changed how a real
operation runs (a workflow, a queue structure, a staffing model) and a
frontline team adopted it, with a measured result. Ideally, you’ve also run
an operational experiment that changed a decision. Your background might be
in industrial or systems engineering, operations research, healthcare
operations, or data science.

* You find where time goes and fix the structure: You’ve mapped a multi-step,
multi-workforce flow from event data and found where time and capacity were
lost. You’ve divided work across teams, sized capacity to demand, and fixed
structure before optimizing.

* You turn messy operations into solvable problems: You’ve taken a real
operational problem, framed it as an assignment, routing, or allocation
problem, and shipped a solution people used with an optimization library or
solver (e.g., OR-Tools, Gurobi, PuLP). You know when a good heuristic beats
an exact solver.

* You make experiments end in an answer: You design tests of operational
changes with success measures agreed up front and keep monitoring after
launch. When you can’t randomize, you estimate causal effects from
observational data and keep association and effect apart in your own writing.

* Your measures hold up: You build performance and outcome measures that
separate workload from skill, and you’ve used survival and hazard models on
censored data, since most of our episode questions are time-to-event
problems.

* You’re rigorous about what’s true: You look for the confound in your own
findings before anyone else does, and you validate AI-assisted work rather
than accepting it.

* You write production-quality Python and SQL: You ship tools and analyses that
others can run and rely on.

* You translate both ways: You can turn an operations frustration into a
well-posed problem, and a result into what a frontline team should do
differently on Monday. You stay steady when the people your numbers describe
push back.

* You handle healthcare data responsibly: You understand minimum-necessary
access to sensitive data.

* Big plus: Experience with sequential decision-making, such as bandits or
optimal stopping.

* Bonus: Simulation, workforce scheduling, process mining, or a healthcare
operations background such as hospital patient flow or capacity management.

Why you’ll love working with us...

* We’re a hard-working, humble, and compassionate group motivated to solve the
hard problems in health...

About Carrum Health

Hospitals and Health Care · 201-500 employees · headquartered in San Francisco, California · founded 2014