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Job Description

Acclaim Technical Services is seeking a Data Scientist to support engineering services and AI-focused solutions on a key prime contract in Annapolis Junction, MD.

Responsibilities

  • Build and develop AI models; analyze algorithms and protocols; build, test, and refine solutions for reliability and relevance
  • Tune input and model parameters to improve performance
  • Develop machine learning, data mining, statistical, and graph-based algorithms to analyze and interpret datasets
  • Prototype multiple algorithms and select the final approach using suitable performance metrics
  • Build models and/or experiments to generate data when training or example datasets are unavailable
  • Create reports and visualizations that summarize datasets and deliver data-driven insights to customers
  • Collaborate with subject matter experts to convert manual data analysis into automated analytics
  • Implement prototype algorithms within production frameworks for integration into analyst workflows

Requirements

  • Bachelor’s and Master’s Degree from an accredited college or university in a quantitative discipline (examples: statistics, mathematics, operations research, engineering, or computer science)
  • Minimum of 5 years experience analyzing datasets and developing analytics
  • 5 years programming experience with data analysis tools such as R, Python, SAS, or MATLAB
  • An additional 2 years of experience in software development, cloud development, dataset analysis, or developing descriptive, predictive, and prescriptive analytics can substitute for the Master’s Degree
  • PhD in a quantitative discipline from an accredited college or university can substitute for 3 years of experience

Technologies

  • R
  • Python
  • SAS
  • MATLAB

Location

  • Annapolis Junction, MD (onsite)

Compensation

  • Pay range: USD 240,000 per year (target salary: $240,000.00)
  • Final salary may vary based on geographic location, Federal Government contract labor categories and contract wage rates, relevant prior experience, specific skills and competencies, education, and certifications

Benefits

  • Healthcare
  • Wellness
  • Financial
  • Retirement
  • Family support
  • Continuing education
  • Time off benefits

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