# Senior Data Scientist - Operations & Product

**Company:** [Rula](https://hotfix.jobs/companies/rula)
**Location:** Remote
**Role:** Data Science
**Salary:** $192k – $228k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, A/B Testing, predictive analytics, Looker, Tableau, Hex, Data Visualization, experiment design, financial analytics, operational analytics, ehr, revenue cycle management, cac, Customer Retention
**Posted:** 2026-08-07

> This senior data scientist supports EHR, revenue cycle management, product, and operations decisions through experimentation, predictive analytics, and financial and operational insight. The role requires 7+ years of analytics or data science experience, strong Python or SQL skills, and effective cross-functional partnership.

## Job Description

## Responsibilities
- Serve as the analytical engine supporting the Electronic Health Record (EHR), Revenue Cycle Management (RCM), product operations, and customer support.
- Partner with Product, Operations, Finance, Accounting, Billing, Data, and Customer Experience teams to investigate complex account questions and uncover root causes.
- Analyze metrics, trends, and experiments to improve the EHR platform.
- Examine billing workflows, identify breakdowns, and develop insights that improve accuracy, reduce friction, and support sustainable growth.
- Translate complex and messy data into clear, actionable insights.
- Influence financial and operational decisions that drive profitable growth.

## Requirements
- **7+ years** of related professional experience in analytics or data science-focused roles.
- **2+ years** focused on financial analytics and/or firm-level operations analysis.
- Ability to work effectively with non-technical cross-functional stakeholders.
- Strong experience with A/B testing, including experiment design, deployment, and results interpretation.
- Deep understanding of financial metrics such as CAC, billing, key accounts, retention, churn, and LTV.
- Experience with operational metrics such as resolution time and product uptime.
- Expert-level proficiency in Python and/or SQL for predictive analytics modeling.
- Hands-on expertise with data visualization tools such as Looker, Tableau, or Hex.

## Nice-to-haves
- Experience in a fast-paced, high-growth startup environment.
- Expertise proposing and executing operational efficiency experiments.
- Experience in healthcare, marketplace, or financial services operations.
- Ability to connect analytics insights to business strategy.

## Compensation & Benefits
- 100% remote work environment for employees based in the United States; Hawaii is currently excluded.
- Transparent pay ranges regardless of location.
- Medical, dental, vision, life, disability, and FSA/HSA benefits.
- 401(k) plan access.
- Generous time-off policies, including two company-wide shutdown weeks each year for most employees.
- Paid parental leave for birthing, non-birthing, adopting, and fostering parents.
- Employee Assistance Program.
- Quarterly department stipend for team-building activities or in-person gatherings.
- Community and employee resource groups.
- New-hire home office stipend and a $50 monthly internet or cell phone stipend.
- $50 monthly wellness stipend and year-round wellness initiatives.

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