Junior Data Scientist

Seneca Technologiesis part of the Seneca Nation Group (SNG) portfolio of companies. SNG is the federal government contracting business wholly owned by the Seneca Nation of Indians. SNG meets mission-critical needs of federal civilian, defense, and intelligence community customers across a variety of domains. The SNG portfolio receives shared services support from its parent company Seneca Holdings and is comprised of multiple companies that participate in the Small Business Administration 8(a) program. To learn more visit www.senecanationgroup.com and follow us on LinkedIn.

The Seneca Nation Group companies offer competitive compensation and a strong benefits package including comprehensive medical and dental care, matching 401K, paid time off, flexible spending accounts, disability coverage, and other benefits that help provide financial protection for you and your family. We pride ourselves on our collaborative work environment and culture which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Seneca Technologies is seeking a Junior Data Scientist in the Washington, DC metro region. The objective of this work is to support a large GenAI program for our IRS customer.

Responsibilities include, but are not limited to:

This role focuses on leveraging generative AI technologies to enhance tax administration and compliance. The successful candidate will be instrumental in developing and deploying AI models that can generate insightful predictions and simulations based on vast datasets. Resource who will support various data science projects as a key enabling function in building several GenAI applications.

Basic Qualifications:

• Experience/Interest in General Artificial Intelligence (GenAI): Apply GenAI techniques to develop innovative solutions and predictive models, enhancing business performance and decision-making processes.
• Data Science Expertise: Clean, process, and manage large datasets to prepare them for analysis. Ensure the accuracy and integrity of data throughout the lifecycle of projects. Utilize knowledge in Machine Learning, R/Python programming, and data visualization to analyze complex data sets and to drive business insights.
• Data Engineering: Have proficiency in SQL to be able to query and integrate solutions with source data systems
• Team Collaboration: Collaborate effectively with cross-functional teams, contributing to an environment of shared knowledge and cohesive growth.
• Presentations and Documentation: Have the ability to create and produce documents to effectively communicate data-driven insights to both technical and non-technical stakeholders.
• Possess the ability to obtain and maintain an IRS security clearance.