Data Scientist

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🕒 May 14

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Logo of AIS, Inc.

AIS, Inc.

51 - 200 employees

Founded 2002

🔒 Cybersecurity

🤝 B2B

📡 Telecommunications

Cybersecurity • B2B • Telecommunications

AIS, Inc. is a Chicagoland-based full-service technology solutions firm that provides managed IT services, networking, cloud migration and management, VoIP, security (SIEM, XDR, managed firewall), helpdesk, and IT consulting for small businesses, non-profits, schools and enterprises. The company offers NOC/monitoring, endpoint management, backup and disaster recovery, vendor management and project-based support, emphasizing transparency, affordability through open-source tools, and local, client-focused service.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Health and dental insurance • Vacation • Sick and holiday benefits

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