Senior Data Scientist, Marketing

Responsibilities

You will serve as the dedicated data science partner for the marketing team, designing rigorous campaign tests and building measurement frameworks. Additionally, you will develop and deploy predictive models for LTV, propensity, and segmentation to drive marketing strategy and campaign performance.

Requirements

The ideal candidate has experience building marketing measurement and experimentation foundations from the ground up. You must be proficient in production-quality Python and SQL, with a strong background in shipping machine learning models and interpreting marketing metrics.

Skills

• Data Science
• Marketing Analytics
• Python
• SQL
• Causal Inference
• Multi-touch Attribution
• Experimentation
• A/B Testing
• Predictive Modeling
• LTV Modeling
• Segmentation
• Propensity Modeling
• Machine Learning
• Scikit-learn
• XGBoost
• LightGBM

Benefits

• Equity
• Annual bonus
• Flexible working hours
• Generous time off
• Paid parental leave
• Stock option plan
• Flexible PTO
• Summer Fridays
• Paid holidays
• Health insurance
• Vision insurance
• Dental insurance
• Employee Assistance Programs
• 401K 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 be the dedicated data science partner
for our Marketing team as campaign volume grows significantly next year. You'll
bring the rigor and models behind marketing measurement and experimentation,
building the foundation the team needs to make confident decisions at scale.

You'll be part of our Data team and work hand in hand with marketing leadership
and our Senior Manager, Insights, Measurement & Analytics, who owns marketing's
business definitions, testing roadmap, and channel recommendations. You'll own
whether the numbers are right and what they can support, and bring a data
perspective to priorities and trade-offs.

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

* Make campaign tests rigorous: Set the design standards and decision rules for
campaign tests, design holdouts powered to give a clear read, and use causal
inference when a test isn't feasible. Build multi-touch attribution alongside
it, so we know both the true lift of each campaign and how channels
contribute.

* Know what's working, early: Diagnose why a metric moved and build monitoring
that catches issues early, including checking campaign sends against the
eligible population.

* Build models that drive campaigns: Design, train, and deploy models for LTV,
drop-off between registration and episode, and segmentation of the eligible
population. Partner with our core Data Science team on propensity and
personalization models, and own how they're used in campaigns, from targeting
to personalized content and timing across email and web.

* Scale with the team: Build repeatable measurement and reusable data models in
our shared data mart and semantic layer rather than one-off analyses, so it
all holds up as campaign volume grows.

* Be the methodological voice: Turn marketing questions into testable ones, say
clearly what the data can and can't support, and push back when a read won't
hold up.

We’re excited about you because…

* You've built this before: You've built the technical foundation for marketing
or growth measurement and experimentation from 0 to 1, putting table stakes
in place before sophistication, and changed campaign or spend decisions with
it.

* You know what a campaign caused: You design holdouts and lift tests, estimate
incrementality from observational data when you can't randomize, and have
built multi-touch attribution while knowing where it misleads.

* You've shipped marketing models: You've built and deployed models such as
LTV, propensity, churn, or segmentation using frameworks like scikit-learn or
XGBoost/LightGBM, and monitored them in production (e.g., MLflow, Airflow).

* You speak marketing: You're fluent in CAC, LTV, ROI, conversion funnels, and
campaign metrics, and you know how they connect to business outcomes.

* You get to the root cause: When a metric moves, you find out why, and you
build the monitoring that catches it next time.

* You write production-quality Python and SQL: You ship repeatable, tested work
that others can rely on, and you're comfortable contributing to shared data
models and a semantic layer, not just consuming them.

* You're a partner, not an order-taker: You bring a point of view, push back
constructively when a request won't solve the real problem, and build
credibility with non-technical stakeholders.

* You're rigorous about what's true: You keep correlation and causation
separate, challenge your own results, and validate AI-assisted work.

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

* Big plus: Forecasting, or experience with personalization and recommendation
systems.

* Bonus: Experience with eligibility-based or benefits-style funnels.

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, opp...

About Carrum Health

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