Data Scientist (Remote)
Company: Knexus
Location: United States (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-22
About this role
## About Knexus
At Knexus, we are at the forefront of AI development for the government, with a mission to revolutionize how the government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.
## Position Overview
We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Time Zone. You will play a crucial role in using data to help government leaders make mission-critical decisions. This position requires a professional who is not only a master of data analysis but also a creative problem-solver with a strong ability to work with large, complex datasets. You will be responsible for a range of tasks, from developing predictive models to presenting insights to key stakeholders.
## Key Responsibilities
- **Data Analysis and Modeling**: You will develop statistical models and algorithms to analyze large, complex datasets. Your expertise will be used to extract meaningful patterns, trends, and signals from data.
- **Predictive Analytics**: Use machine learning techniques to predict future trends based on historical data.
- **Data Visualization and Reporting**: Create visual representations of data to help stakeholders understand findings and make informed decisions. You will also provide detailed reports and presentations on your findings.
- **Collaboration**: You will work closely with other departments to understand their data needs and provide actionable insights. A strong sense of public service and excellent communication skills are key to collaborating with multidisciplinary government teams.
- **Experience with Large Datasets**: You must be comfortable working with lar...