Senior Data Scientist, Growth

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

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