Senior Data Scientist (Operations & Product)

• 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

Benefits

• The ability to work remotely from any location in the US
• Two company-wide shut-down weeks a year for self-care
• Access to 401(k) personal retirement plan
• Medical, dental, and vision employer insurance plans
• Paid parental leave to support you and your family
• Employee Assistance Programs (EAP) through our insurance
• The equipment you need for your home office
• Pay and benefits that aren’t geo-locked- Strong experience in working directly on A/B testing, including experiment design, deployment, and results interpretation
• Demonstrated ability to work with non-technical cross-functional stakeholders
• 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
• 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.)
• 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
• While having the preferred qualifications below 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