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# Senior Data Scientist

- **Company:** Waymark, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $133,952.0 - $202,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Cleansing, Data Transformation, Database Queries, Python (Programming Language), Machine Learning, NumPy, Systems Architecture, Automated Data Processing (ADP), Data Processing, Feature Engineering, Large Language Models, Multi-Agent Systems, Git, Pandas, Scikit Learn, Information Technology, Software Version Control, Data Pipelines
- **Published:** June 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/waymark-senior-data-scientist-oxa6hvx06m

## About the Role

* Master's degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field and one (1) year of experience in a data science or machine learning role, which may include industry experience, internships, or research assistantships, performing the following duties:
 * Programming in Python for data processing and machine learning development, using pandas, NumPy, and scikit-learn;
 * Writing SQL queries to extract, transform, and analyze data from relational or structured datasets;
 * Working with tabular or event-driven datasets, including data cleaning, normalization, and schema alignment;
 * Implementing automated data processing and model training pipelines, including feature engineering and data transformation;
 * Developing and evaluating machine learning models using performance metrics and validation techniques;
 * Supporting transition of machine learning models from development to production, including packaging, automation, or model versioning; and
 * Using Git for version control in a collaborative development environment.

## Description

* Lead development and deployment of AI/ML models in clinical workflows for healthcare decision-making, patient targeting, and clinical intervention optimization.
 * Duties include: design machine learning prediction models and LLM-based tools including multi-agent scheduling systems.
 * Create technical documentation, system architecture, and project specifications.
 * Collaborate cross-functionally with product, engineering, and care teams to define goals and timelines.
 * Build and optimize Python-based data pipelines for claims data and CRM systems.
 * Conduct research on healthcare data structures and predictive modeling techniques for publication in peer-reviewed journals.
 * Manage multiple projects independently and supervise junior data scientists, providing technical leadership and mentorship. Telecommuting available. Multiple positions.


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