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# Data Scientist 3 (Product Analytics)

- **Company:** Cedar Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $153,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Data Warehousing, Python (Programming Language), SQL Databases, Usage Analysis, Data Processing, Looker Analytics
- **Published:** August 13, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/data-scientist-3-product-analytics/10642272

## About the Role

* 5+ years in a product analytics or data science role (healthcare, fintech, or complex e-commerce experience is a plus).
 * Expert-level SQL and strong Python skills for data manipulation and analysis.
 * Deep understanding of statistical methods and A/B test design for product evaluation.
 * Proven track record of cross-functional collaboration with product, design, and engineering teams to launch and measure products.
 * A proactive attitude with a passion for delivering a world-class user experience and a strong growth mindset.
 * Familiarity with modern data stack tooling (e.g., dbt, Looker, Hex) is preferred.

Applicants must be currently authorized to work in the United States on a full-time basis.

## Description

Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We're seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis.

As a Data Scientist III (Product Analytics), you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products and AI personalization platform, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems.
Responsibilities

 * Partner with Product, Design, and Engineering to uncover user behavior insights and drive data-motivated decision-making.
 * Design, execute, and evaluate product experiments to improve the patient experience and move key business metrics.
 * Conduct exploratory research to identify new strategic levers and opportunities for product optimization.
 * Define, measure, and track the success of new and existing product features.
 * Build scalable dashboards to democratize actionable data insights across the organization.
 * Communicate complex statistical findings and methodologies clearly to stakeholders at all levels.


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