
51 - 200 funcionários
Fundada em 2002
🔒 Cibersegurança
🤝 B2B
📡 Telecomunicações
Cybersecurity • B2B • Telecommunications
A AIS, Inc. é uma empresa de soluções tecnológicas sediada na região de Chicagoland que oferece serviços completos de TI gerenciada, networking, migração e gerenciamento de nuvem, VoIP, segurança (SIEM, XDR, firewall gerenciado), helpdesk e consultoria de TI para pequenas empresas, organizações sem fins lucrativos, escolas e grandes empresas. A empresa oferece NOC/monitoramento, gestão de endpoints, backup e recuperação de desastres, gerenciamento de fornecedores e suporte baseado em projetos, enfatizando a transparência, a acessibilidade através de ferramentas open-source e um serviço local e focado no cliente.
🕒 Maio 14
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2002
🔒 Cibersegurança
🤝 B2B
📡 Telecomunicações
Cybersecurity • B2B • Telecommunications
A AIS, Inc. é uma empresa de soluções tecnológicas sediada na região de Chicagoland que oferece serviços completos de TI gerenciada, networking, migração e gerenciamento de nuvem, VoIP, segurança (SIEM, XDR, firewall gerenciado), helpdesk e consultoria de TI para pequenas empresas, organizações sem fins lucrativos, escolas e grandes empresas. A empresa oferece NOC/monitoramento, gestão de endpoints, backup e recuperação de desastres, gerenciamento de fornecedores e suporte baseado em projetos, enfatizando a transparência, a acessibilidade através de ferramentas open-source e um serviço local e focado no cliente.
• Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications • Maintain familiarity with diverse data types and assist with field data collection activities as needed • Organize and document datasets and metadata in accordance with established data management protocols • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows • Support data curation and storage, including cloud-based data repositories • Assist with preparation and archiving of datasets in accordance with government data standards • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists) • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities • Participate in interdisciplinary working groups and collaborative research efforts • Support proposal development, manuscript review, and scientific reporting activities • Participate in outreach and stakeholder engagement activities as required • Prepare for and participate in scientific meetings, workshops, and symposia
• Master’s degree in data science, computer science, marine biology, or related field, OR Bachelor’s degree with 1+ year of relevant research experience • Experience applying machine learning, statistical analysis, or advanced analytical techniques • Proficiency in programming languages such as Python or R • Experience working with large datasets and data management workflows • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar) • Experience with relational databases • Strong written and oral communication skills • Ability to work collaboratively across multidisciplinary teams • Ability to translate complex datasets into actionable scientific products • Strong analytical and problem-solving skills • Ability to manage multiple datasets and analytical workflows simultaneously • Effective communication of technical concepts to non-technical stakeholders
• Health and dental insurance • Vacation • Sick and holiday benefits
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