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programming skills in R or Python (with R being preferred) as well as strong statistical analysis and data visualization skills. The hiring unit will not sponsor employment-eligible immigration statuses
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environmental science field and lab research, experience programming for data management or analysis (e.g. in R or Python), a high level of attention to detail, ability to quickly learn and apply new skills
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, design, writing and implementation of software and systems using procedural APIs such as C, Perl, object-oriented APIs such as C++, Python and Java, and parallel systems based on MPI. Experience working
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and problems. Preferred Qualifications CCNA or CCNP certification F5 or Citrix Load Balancers Cisco Call Manager and Unity Voicemail SolarWinds Orion or similar enterprise monitoring tools Python
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threat intelligence feeds with SIEM systems and participating in incident response activities Strong scripting or programming skills (e.g., Python, Bash, PowerShell) Proven hands-on experience with Elastic
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(or equivalent foreign degree) in environmental studies, natural resource management, geographic information systems or a related field. Experience using a combination of ArcGIS pro, Python, and R to process and
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surveillance, statistical analysis, and informatics, with advanced proficiency in statistical software such as R, SAS, or Python. Creative problem-solving and strategic thinking to recommend action steps
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, or Python. Creative problem-solving and strategic thinking to recommend action steps or solutions related to public health surveillance, epidemiology, data challenges and program evaluation, or research
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researchers with improving practice and research. Ability in Structured Query Language (SQL); experience with query tuning and optimization. Ability in Python development, experience with writing and testing
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utilizing current technology to develop and enhance processes and reporting. Knowledge or experience with Python, SQL, Power Bi and Power Query, Tableau along with advanced MS Excel skills will be preferred