Senior Data Scientist - Applied

Responsibilities

Build and deploy product machine-learning models for member identification, personalization, and provider search ranking, and take projects from problem framing through prototyping and handoff. Design experiments and causal analyses, define product metrics and dashboards, and partner with product, engineering, care operations, marketing, and analytics engineering to build reliable data foundations and apply AI in healthcare.

Requirements

Typically, candidates have 5+ years of data science experience and have shipped production models through defined interfaces, with experience in experimentation, causal inference, product metrics, and feature pipelines. They should write maintainable production-quality Python and SQL, understand data leakage and sensitive-data access, and communicate findings clearly; clinical, clinical informatics, or oncology experience is a bonus.

Skills

• Product Machine Learning
• Model Deployment
• A/B Testing
• Multivariate Testing
• Sequential Testing
• Causal Inference
• Product Metrics
• Experimentation
• Feature Engineering
• Feature Pipelines
• Point-in-Time Data Correctness
• Python
• SQL
• Data Visualization
• AI
• Healthcare Data Science

Benefits

• Stock Options
• Performance Bonus
• Flexible Schedules
• Remote Work
• Flexible Paid Time Off
• Summer Fridays
• Paid Holidays
• Annual Holiday Shutdown
• Paid Parental Leave
• Health Insurance
• Vision Insurance
• Dental Insurance
• Employee Assistance Programs
• 401(k) Retirement Plan

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 $190,000 - $225,000 depending on geography and
level of experience, plus equity and an annual bonus.

We’re seeking a Senior Data Scientist to join our Data Science team and build
the models and decision tools that help members get to the right care and help
our teams work smarter. You’ll work across our service lines and our biggest
priorities, from product ML and experimentation to growth and AI.

This role is built for a product-minded builder. You’ll start with the problem
rather than the method, shadow the people who will use what you build, prototype
quickly, write the design doc, and hand off cleanly to product and engineering.
You’ll bring a point of view on what we should build and own the outcome, not
just the analysis.

Reporting to the Director of AI & AE, you’ll partner closely with product,
engineering, care operations, and marketing, and with our Analytics Engineering
team on the data that powers your models.

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

* Build core product ML: Design, deploy, and scale models built directly into
our product, including models that identify members who could benefit from
Carrum, personalization engines that tailor how and when we reach them, and
search ranking that steers them to the right providers. Ship them behind
well-defined interfaces so they keep improving without slowing the product
roadmap.

* Take ideas from zero: Start with the decision a model will drive, then frame
the problem, prototype quickly, write the design doc, and hand it to product
to scale.

* Prove what works: Design and analyze A/B/n, multivariate, and sequential
tests with product, and use causal inference to measure impact when a
randomized test isn’t feasible.

* Define what success looks like: Partner with product managers and engineers
on North Star metrics and diagnostic dashboards, and model activation,
retention, and engagement across the member journey.

* Build the data foundation for models: Work with Analytics Engineering and
data engineering on event logging, point-in-time-correct feature pipelines
and feature stores, and automated experiment analysis.

* Help bring AI to healthcare: Apply AI thoughtfully in tools for members and
our care team, with the rigor to know when it’s working.

We’re excited about you because…

* You’ve shipped models that mattered: You typically have 5+ years in data
science, with production models that engineering consumes through a defined
interface. You can tell us what they changed, how you handled versioning and
monitoring, and what broke.

* You frame before you model: You start with the decision the work will inform,
and you’ve taken an idea from an ambiguous problem to a prototype to clean
handoff.

* You know what caused what: You’ve designed experiments that hold up at modest
sample sizes, and you’ve estimated causal effects from observational data.
You know which method fits the situation, what assumptions it relies on, and
when those assumptions break.

* You’ve defined product metrics: You’ve worked with product managers to set
North Star metrics and build the diagnostics that explain why they move.

* You build on sound data: You’ve partnered with engineering on feature
pipelines and logging, and you understand leakage, point-in-time correctness,
and minimum-necessary access to sensitive data.

* You write production-quality Python and SQL: You ship tested code that others
can run and maintain, not notebooks.

* You’re rigorous about what’s true: You keep correlation and causation
separate, attack your own results first, and validate AI-assisted work rather
than accepting it.

* You communicate both ways: You can turn a business question into a formal
problem, and a result into a clear recommendation.

* Bonus: A clinical, clinical informatics, or oncology background.

Why you’ll love working with us...

* We’re a hard-working, humble, and compassionate group motivated to solve the
hard problems in healthcare today. You’ll work with talented, experienced
co-workers from companies like Booz & Company, Teladoc, Hinge Health,
Accolade, Angi, and Optum. 

* We champion a collaborative environment where team members can be autonomous,
receive support and healthy feedback, and bring their authentic selves to
work.

* We carve out time to celebrate our successes and have fun. We’re a
remote-first company with employees all over the United States. We offer
holistic employee support with flexible working hours, generous time off,
paid parental leave, opportunities to connect v...

About Carrum Health

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