Senior Data Scientist

This range is provided by Glocomms. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range $150,000.00/yr - $220,000.00/yrRecruitment Consultation - Emerging Tech & Data Analytics Our client is building a platform to make healthcare more accessible, transparent, and personalized. Their mission is to help patients find the right providers, access the right medications, and take control of their health with trust and clarity.The company has grown rapidly by combining operational excellence, clinical expertise, and innovative technology to deliver care that is more human and effective. They focus on areas such as pricing transparency, personalized medication management, and long‑term medical record access, creating a new model of care that empowers patients and providers alike.They are seeking aSenior Data Scientistto lead experimentation across product, pharmacy, and design teams. This role involves designing and running A/B tests, building frameworks for causal inference, and ensuring statistical rigor in decision‑making. You'll collaborate closely with clinicians, engineers, and designers to drive evidence‑based improvements in patient experience.Key ResponsibilitiesOwn design and execution of experiments (A/B tests, quasi‑experiments)Build tools to standardize experimentation and reportingProvide nuanced insights beyond simple metricsMentor teammates and set best practicesIdeal Background4+ years of applied experimentation experienceStrong Python and SQL skillsExpertise in causal inference methodsAbility to communicate complex results clearlyCompensation:$150K-$220K base salary + equity and benefits Location:Onsite, San FranciscoThe company offers top‑of‑market pay, generous equity, comprehensive benefits, and a collaborative culture focused on impact and innovation.Referrals increase your chances of interviewing at Glocomms by 2x.Seniority Level Mid‑Senior levelEmployment Type Full‑timeJob Function AdministrativeIndustries Data Infrastructure and Analytics#J-18808-Ljbffr