Sr. Data Scientist - Operations & Product (Remote)

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.  We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

This role will be the analytical engine supporting Rula’s Electronic Health Record (EHR) and Revenue Cycle Management (RCM) product and operations, as well as customer support. As an individual contributor, you will work closely with partners across Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience, bringing well-rounded business acumen to investigate complex account questions, uncover root causes, and turn messy data into clear, actionable insights. Day to day, you will work with Product to help improve our EHR platform, through analyses of metrics, trends and experimentation. You will also dig into billing workflows, identify where things break down, and help teams make informed conclusions that improve accuracy, reduce friction, and support sustainable growth. This role sits within the Analytics organization and plays a critical part in helping Rula deliver a reliable, trustworthy experience for patients, therapists, and insurance companies.

7+ years of related professional experience in analytics or data science-focused role, with 2+ years of experience focusing on financial analytics and/or firm-level operations analysis Demonstrated ability to work with non-technical cross-functional stakeholders Strong experience in working directly on A/B testing, including experiment design, deployment, and results interpretation Deep understanding of financial metrics (e.g., CAC, billing, key accounts, retention, churn, LTV, etc.) and operational metrics (e.g. resolution time, product uptime) and experience translating data into actionable insights Expert-level proficiency in Python and/or SQL to model predictive analytics, as well as hands-on expertise utilizing data visualization tools (Looker, Tableau, Hex, etc.) Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. Experience within a fast-paced, high-growth startup environment with the ability to handle dynamic and shifting analytical priorities Expertise proposing and executing operational efficiency experimentation Prior experience in healthcare, marketplace or financial services operations Ability to connect analytics insights to business strategy, influencing financial and operational decisions that drive profitable growth We're serious about your well-being! As part of our team, full-time employees receive: 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) Attractive pay and benefits : Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits : Medical, dental, vision, life, disability, and FSA/HSA 401(k) plan access : Start saving for your future Generous time-off policies : Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid