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# Data Scientist, Senior

- **Company:** Rios Inc
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $156,000.0 - $197,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Data Dictionary, Information Engineering, Decision Support Systems, EHealth, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Model Validation, Performance Monitor, Unsupervised Learning
- **Published:** September 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b9ad34e13f6c4181

## About the Role

* Python, R, SQL, or comparable analytical tools
 * Cloud-based analytics and data engineering
 * Supervised and unsupervised learning
 * Model validation and performance monitoring
 * Synthetic data and cohort analytics
 * Healthcare data and outcomes measurement
 * Dashboards, visualization, and technical documentation

## Description

Rios Partners is a mission-driven consulting firm committed to creating positive impact by delivering value for our clients, investing in our people, and solving tough problems that strengthen our local, national, and global communities. Our approach is grounded in empathy, enabling our teams to deeply understand customer challenges and design practical, effective solutions. As a team, we know what it takes to move mission-critical organizations forward with measurable and sustainable results.
Our primary consideration when evaluating candidates is alignment with our Mission and Values, which can be found here.
Position Summary
Provides advanced data science, machine learning, evaluation, and analytics support for AI-enabled digital health initiatives. Develops analytical methods and models that support feasibility assessment, product testing, pilot evaluation, decision support, performance monitoring, and scaling decisions., * Acquire, prepare, validate, and analyze structured and unstructured healthcare data in approved cloud or enterprise analytic environments.

 * Develop supervised, unsupervised, reinforcement-learning, and statistical models appropriate to healthcare and operational use cases.
 * Develop and analyze synthetic data models and patient cohorts while documenting assumptions, limitations, and validation methods.
 * Translate business, clinical, operational, and product questions into testable hypotheses, analytical plans, and decision-support requirements.
 * Develop model features, training pipelines, validation protocols, performance measures, and monitoring approaches.
 * Assess model accuracy, generalizability, scalability, bias, robustness, usability, and operational feasibility.
 * Support requirements development and implementation for decision-support tools and Digital Health Pipeline dashboards.
 * Analyze clinical, operational, financial, implementation, and user-feedback data for pilots and completed projects.
 * Create reproducible code, data dictionaries, technical documentation, visualizations, evaluation reports, and executive-ready findings.
 * Collaborate with AI strategists, program managers, analysts, clinicians, product owners, security personnel, and VA stakeholders.
 * Protect PHI, PII, and VA-sensitive information and comply with applicable data-use, privacy, and security controls.