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Data Scientist

Aisobservers · Remote · Active · BambooHR

Job facts

FieldValue
CompanyAisobservers
TitleData Scientist
Normalized title-
Department / teamScientific Research and Technical Services Department
LocationMiami, FL, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-14 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aisobservers.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Miami.Open
Department jobsActive postings in Scientific Research and Technical Services Department.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAisobservers
Sourcef846fed2-4056-4d70-b4aa-818105ce6ea8
ATS providerBambooHR

Description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch. Primary Function: This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs. Duties/Responsibilities: 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 Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates’ depth of experience. This is a full–time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits. Minimum Qualifications: 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 Preferred Qualifications: PhD in data science, computer science, marine science, or related field Experience developing and deploying machine learning models Experience with cloud-based ML workflows and scalable data processing Experience working with fisheries, environmental, or ecological datasets Experience with AI/ML model architecture and performance evaluation Travel: Travel required (limited) for field data collection, collaboration meetings, and scientific conferences. Location: Remote Must be willing to relocate if needed. Contact: If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information: Resume Cover letter detailing relevant experience. 3 professional references (name, email address and phone number) All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833. An Equal Opportunity Employer It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law. Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer

Full job record

Job ID7d220f51b04f6a102879facde9f3a5ecb07e94a5
Org ID5404d243-66f0-4dd0-802e-4efe40c251f0
Source IDf846fed2-4056-4d70-b4aa-818105ce6ea8
Board IDf846fed2-4056-4d70-b4aa-818105ce6ea8
Providerbamboohr
Provider Job Key145
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentScientific Research and Technical Services Department
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionFL
CityMiami
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://aisobservers.bamboohr.com/careers/145
Apply URLhttps://aisobservers.bamboohr.com/careers/145
First Seen At2026-05-30 06:10:33Z
Last Seen At2026-06-06 09:41:29Z
Last Checked At2026-06-06 09:41:29Z
Last Changed At2026-05-30 06:10:33Z
Inactive At
Source Posted At2026-05-14 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=aisobservers/date=2026-06-06/2026-06-06T09-41-27-125Z-af72355a51a2aa7a2b3c1f3376ccd0d584fda2e3eaad28d385255196f7bd872e.json
Event Fields
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  "last_changed_at": "2026-05-30T06:10:33.674Z",
  "active_status": "active"
}
Parsed Structured
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  "launch_scope": {
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    "location": {
      "raw": "Miami, Florida, United States",
      "city": "Miami",
      "region": "FL",
      "country": "United States",
      "is_remote": true,
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  "workplace_type": "remote",
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Extensions
{}
Native Structured
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    "description": "<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"><span style=\"font-weight: bold\">A.I.S., Inc. (AIS)</span> is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.</span></p>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Primary Function:</span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\">This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.</span></p>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Duties/Responsibilities:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Maintain familiarity with diverse data types and assist with field data collection activities as needed</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Organize and document datasets and metadata in accordance with established data management protocols</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Support data curation and storage, including cloud-based data repositories</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Assist with preparation and archiving of datasets in accordance with government data standards</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Develop, test, and evaluate analytical workflows and models to improve data processing efficiency</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Participate in interdisciplinary working groups and collaborative research efforts</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Support proposal development, manuscript review, and scientific reporting activities</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Participate in outreach and stakeholder engagement activities as required</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Prepare for and participate in scientific meetings, workshops, and symposia</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"><span style=\"font-weight: bold\">Compensation:</span> Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates’ depth of experience. This is a full–time position. <span style=\"font-weight: bold\">AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.</span></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Minimum Qualifications:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Master’s degree in data science, computer science, marine biology, or related field, OR Bachelor’s degree with 1+ year of relevant research experience</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience applying machine learning, statistical analysis, or advanced analytical techniques</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Proficiency in programming languages such as Python or R</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience working with large datasets and data management workflows</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience with relational databases</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Strong written and oral communication skills</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Ability to work collaboratively across multidisciplinary teams</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Ability to translate complex datasets into actionable scientific products</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Strong analytical and problem-solving skills</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Ability to manage multiple datasets and analytical workflows simultaneously</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Effective communication of technical concepts to non-technical stakeholders</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Preferred Qualifications:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">PhD in data science, computer science, marine science, or related field</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience developing and deploying machine learning models</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience with cloud-based ML workflows and scalable data processing</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience working with fisheries, environmental, or ecological datasets</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Experience with AI/ML model architecture and performance evaluation</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Travel: </span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Location:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Remote</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Must be willing to relocate if needed.</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\">Contact:</span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\">If you would like to apply for this exciting new opening, please visit our <a href=\"https://aisobservers.com/careers\" target=\"_blank\" rel=\"noopener noreferrer\">Careers Page</a> to submit the required information:</span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"> </span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Resume</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">Cover letter detailing relevant experience.</span></li>\n<li><span style=\"font-family: georgia, palatino; font-size: 12pt\">3 professional references (name, email address and phone number)</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\">All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our <a href=\"mailto:[email protected]\" target=\"_blank\" rel=\"noopener noreferrer\">Talent Team</a> or call 774-770-5833.</span></p>\n<p><br><span style=\"font-family: georgia, palatino; font-size: 12pt; font-weight: bold\"><em>An Equal Opportunity Employer</em></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"><em>It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.</em></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"><em> </em></span></p>\n<p><span style=\"font-family: georgia, palatino; font-size: 12pt\"><em>Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer</em></span></p>",
    "compensation": null,
    "departmentId": "18784",
    "locationType": "1",
    "seekPromoted": false,
    "jobCategoryId": "18469",
    "jobOpeningName": "Data Scientist",
    "departmentLabel": "Scientific Research and Technical Services Department",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Mid-level",
    "jobOpeningShareUrl": "https://aisobservers.bamboohr.com/careers/145",
    "employmentStatusLabel": "Full Time"
  }
}
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