Data Scientist - AI focused (2026-0126)

Acclaim Technical ServicesAnnapolis Junction, MD
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. They support a wide range of U.S. Federal agencies and are an Employee Stock Ownership Plan (ESOP) company. ATS is currently recruiting for a Data Scientist with a TS/SCI w/ poly clearance to support their Engineering Services and Solutions Division in Annapolis Junction, MD. This position is on one of their 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

Benefits

  • healthcare
  • wellness
  • financial
  • retirement
  • family support
  • continuing education
  • time off benefits
  • Employee Stock Ownership Plan (ESOP)
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