Senior Data Scientist, Matching

About the Team

Our Patient team’s mission is to help every patient find the right provider for their needs. We are building the matching system that powers this connection, from search and discovery to selection. Our goal is to combine cutting‑edge machine learning with a deep understanding of patient and provider experience.

About the Role

We’re seeking a Senior Data Scientist with a passion for product and user experience to help us transform how patients discover and select the right therapist. Your mission : to deeply understand patient behavior and surface insights that directly inform and improve our product experience. In this role, you’ll combine behavioral data, experimentation, and user research to identify friction points, unmet needs, and optimization opportunities across the patient journey. Your work will guide how we design, prioritize, and evaluate changes to search and matching experience. You’ll collaborate closely with product managers, engineers, designers, and user researchers to turn insights into impactful product decisions. This is a unique opportunity to apply scientific rigor and human‑centered thinking to a deeply meaningful challenge : helping people access personalized, effective mental healthcare.

What You’ll Do

Analyze patient behavior and funnel performance to identify UX pain points and drop‑off drivers

Partner with user research to combine qualitative and quantitative insights into a unified view of the patient journey

Develop frameworks to measure relevance, conversion signals, and long‑term patient outcomes

Collaborate with product, clinical, and engineering teams to define success metrics and guide experimentation.

Clearly communicate findings, recommendations, and business implications to both technical and non‑technical stakeholders

What We’re Looking For

Degree in Statistics or a related quantitative field; Masters or PhD preferred

2-5 years of experience in data science, applied machine learning, or a related field.

Strong proficiency in Python, SQL, and experimentation / causal inference techniques.

Familiarity with ranking, search, or recommendation systems (e.g., relevance modeling, click modeling, LTR methods).

Comfort with ambiguous, open‑ended research questions and the ability to translate findings into actionable insights.

Excellent communication skills — able to explain complex ideas simply and build trust across teams.

Passion for improving access to mental health care and advancing outcomes for patients.

Compensation & Benefits :

The expected base pay range for this position is $183,600 - $216,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance‑based variable compensation and an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include :

Equity compensation

Medical, Dental, and Vision coverage

HSA / FSA

401K

Work‑from‑Home Stipend

Therapy Reimbursement

16‑week parental leave for eligible employees

Carrot Fertility annual reimbursement and membership

13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st

Flexible PTO

Employee Assistance Program (EAP)

Training and professional development

#J-18808-Ljbffr