Dover Networks LLC
Overview
Requires Top Secret/SCI with Full Scope Poly Description
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred. Qualifications
Optimization of data processing and identification of inefficient processes. Experience with data visualizations, dashboards, and the generation of data insight reports. Experience with Machine Learning algorithms and PROFORMA. A Bachelor’s degree and 10 years of relevant experience. An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
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Requires Top Secret/SCI with Full Scope Poly Description
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred. Qualifications
Optimization of data processing and identification of inefficient processes. Experience with data visualizations, dashboards, and the generation of data insight reports. Experience with Machine Learning algorithms and PROFORMA. A Bachelor’s degree and 10 years of relevant experience. An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
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