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# Data Scientist

- **Company:** Imagine Pediatrics
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Application Performance Management, Monitoring of Systems, Statistical Hypothesis Testing, Python (Programming Language), Standard Sql, Tableau (Software), Snowflake, Maintaining Code
- **Published:** October 13, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-data-scientist/11676271?handler=ApplyRedirect

## About the Role

First and foremost, you're passionate and committed to reimagining pediatric health care and creating a world where every child with special health care needs gets the care and support they deserve. You will need:

 * 5+ years of experience, including proficiency in Python and SQL
 * Strong background in study design, causal inference, hypothesis testing, and research methods
 * Ability to work with non-technical staff and lead presentations of findings to colleagues across the organization
 * Ability to consistently deliver rigorous, high-quality modeling work end-to-end
 * Experience working in a start-up or growth environment required; healthcare experience preferred
 * Experience with Snowflake, AWS, dbt and/or Tableau

## Description

As Senior Data Scientist with Imagine Pediatrics, you will be part of a growing team and business utilizing foundational Data Science to support the health and lives of children with special healthcare needs. This role is critical to understanding the power of our data and how we can leverage insights to directly impact patient care. You will:

 * Communicate with business stakeholders to understand goals, frame ambiguous questions, and scope projects into well-posed modeling problems
 * Build and deploy production-ready models, along with monitoring outputs and drift
 * Translate model behavior and outputs into actionable guidance for technical and non-technical audiences across the organization
 * Contribute to team ML infrastructure, including writing and maintaining code and dbt models for Data Science metrics and features
 * Work within our Data Science team and cross-functionally to optimize data collection, build data assets, proactively identify and close gaps, and deliver insights on business strategy, becoming a trusted analytical partner for external stakeholders, Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.
Top Skills: BigQueryClickhouseDruidLlmsMachine LearningNlpPower BIPythonRedshiftSQLTableau
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