Data Scientist - AI focused (2026-0126)

Acclaim Technical Services•Annapolis Junction, MD

7d•$240,000 - $240,000•Onsite

About The Position

Acclaim Technical Services (ATS), founded in 2000, is a leading company in cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement, and enterprise operations, supporting various U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company, ATS is recognized as a top workplace and continues to grow. We are currently seeking a Data Scientist with a TS/SCI w/ poly clearance to support our Engineering Services and Solutions Division in Annapolis Junction, MD. This role is critical to one of our key prime contracts.

Requirements

Bachelor's and Master's Degree from an accredited college or university in a quantitative discipline (e.g. statistics, mathematics, operations research, engineering or computer science)
At least five years of experience analyzing datasets and developing analytics
Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
TS/SCI w/ poly clearance

Nice To Haves

An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's Degree.
A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.

Responsibilities

Build and Develop AI models
Analyze algorithms and protocols
Build, test, and refine solutions for reliability and relevance
Tune input and model parameters
Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and make sense of datasets
Prototype or consider several algorithms and decide upon final model based on suitable performance metrics
Build models or develop experiments to generate data when training or example datasets are unavailable
Generate reports and visualizations that summarize datasets and provide data-driven insights to customers
Partner with subject matter experts to translate manual data analysis into automated analytics
Implement prototype algorithms within production frameworks for integration into analyst workflows