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Data Scientist 3

Wyetech

Salary not specified
Dec 16, 2025
Annapolis Junction Business Park, MD, US
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At Wyetech, solving real-world problems for federal government customers by breaking technological barriers and extracting meaning and value from large datasets.

Requirements

  • Mathematical, Computational, Statistical foundations
  • Data Processing skills (data management and curation, data description and visualization, workflow and reproducibility)
  • Modeling, Inference, and Prediction skills (data modeling and assessment, domain-specific considerations)
  • Programming skills in at least one high-level language (e.g. Python)
  • Statistical analysis skills (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
  • Data management skills (e.g. data cleaning and transformation)
  • Experience with machine learning, data science, advanced analytical algorithms, data mining, data modeling and assessment, artificial intelligence, and/or software engineering

Responsibilities

  • Devising strategies for extracting meaning and value from large datasets
  • Making and communicating principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
  • Developing and implementing qualitative and quantitative methods for characterizing, exploring, and assessing large datasets
  • Translating practical mission needs and analytic questions related to large datasets into technical requirements
  • Assisting others with drawing appropriate conclusions from the analysis of such data
  • Effectively communicating complex technical information to non-technical audiences
  • Making informed recommendations regarding competing technical solutions

Other

  • United States Citizenship
  • Active TS/SCI security clearance with agency appropriate polygraph
  • Bachelor's Degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
  • Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Ability to obtain and maintain a security clearance