Data • washington dc
Data Scientist with AI/ML expertise.This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support... Show more
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Job Title: DATA ENGINEER<br /> Location: Mclean,VA or Plano, TX<br /> Duration: 12+ Months<br /> Visa: USC, GC, H1B and EAD<br /> Contract Type: W2</b></p> <... Show more
The average salary range is between $ 41,782 and $ 153,213 year , with the average salary hovering around $ 85,746 year .
The average salary range is between $ 35,126 and $ 144,979 year , with the average salary hovering around $ 75,077 year .
KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making.
The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders.
Machine Learning & AI Development
Data Analysis & Exploration
Data Visualization & Communication
Model Deployment & Integration
Collaboration & Agile Delivery
Requirements
Active TS/SCI W/ Polygraph Required.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience)
Strong experience in data science, machine learning, and statistical analysis
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience analyzing and working with large-scale datasets
Strong understanding of statistical modeling, probability, and data analysis techniques
Experience with data visualization tools and communicating insights effectively
Strong problem-solving skills and ability to work in complex, mission-driven environments
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