REMOTE Embedded Data Scientist

Location : Washington DC ( Remote )

Duration: 12 Months COntract

Role Overview

The Embedded Data Scientist will serve as a dedicated member of the Data Analytics / Data Products scrum team.

This role focuses on developing analytics reports building statistical models and supporting data-driven decision-making across the organization.

Engagement Model

- Serve as a full-time contractor embedded in a Data Analytics / Data Products scrum team from January 1 2026 to September 30 2026.

- Work primarily remotely with no more than 10 in-office days during the contract period.

- Use client-provided and managed hardware.

- Report to the clients Manager of Data Science (or equivalent role).

- Work between 9:00 AM and 5:00 PM Eastern Time on client business days with up to 10 business days allowed for absence during the contract period.

- Reside in the United States for the entire contract period.

Key Responsibilities

Report Development and Maintenance

- Design implement and maintain analytics reports and data products using Python SQL and Quarto (or similar tools).

Statistical Model Development

- Develop statistical and machine learning models for predictive and counterfactual scenario simulations.

- Utilize methods including but not limited to Ordinary Least Squares (OLS) logistic and probabilistic models generalized additive models gradient boosting and other appropriate estimation techniques.

Data Governance and Security

- Ensure data integrity and quality through robust governance practices.

- Safeguard non-public data and personally identifiable information (PII) in accordance with applicable policies and regulations.

Team Process & Contribution

- Write unit tests and contribute to CI/CD pipelines.

- Conduct code reviews on peers merge requests.

- Participate in sprint planning reviews and retrospectives as part of an Agile team.

- Contribute to and maintain internal Data Team documentation/handbooks.

- Uphold the clients values standards and engineering best practices.

Qualifications

- Alignment with the clients mission values and culture.

- At least 2 years of professional experience applying statistical methods machine learning or data science techniques to real-world problems.

- At least 2 years of experience programming in Python and SQL.

- Demonstrated ability to communicate complex analytical findings through data visualizations and clear written reports.

- Knowledge of statistical techniques such as regression modeling hypothesis testing and causal inference.

Contract Requirements