Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

At Wyetech, breaking technological barriers and solving real-world problems for federal government customers

Requirements

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

Responsibilities

• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets
• Translate practical mission needs and analytic questions related to large datasets into technical requirements
• Assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make 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
• Travel may be required (various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS)