app.xptracker.job.listing

xptracker.app

Samples

100 randomly sampled records from the AT Protocol firehose

app.xptracker.job.listing (100 samples) 
{
  "$type": "app.xptracker.job.listing",
  "title": "Data Scientist",
  "skills": [
    "Communication",
    "Data Analysis",
    "Database Modeling",
    "Doctorate Degree",
    "Econometrics",
    "Full-Time",
    "Geospatial Analysis",
    "GIS",
    "Leadership",
    "Machine Learning",
    "Marine Fisheries",
    "Master's Degree",
    "Natural Resource Economics",
    "Operations Research",
    "Project Management",
    "Public Trust Clearance",
    "Python",
    "R Programming",
    "R-Shiny",
    "Remote",
    "Statistics",
    "Teamwork",
    "US Citizenship"
  ],
  "company": "ECS",
  "jobType": "remote",
  "location": "Remote - USA",
  "postedAt": "2026-04-14T00:00:00.000Z",
  "sourceId": "141911",
  "createdAt": "2026-04-15T08:05:46.000Z",
  "sourceUri": "https://jobicy.com/jobs/141911-data-scientist-5",
  "provenance": "scraper",
  "description": "ECS is hiring a Data Scientist to support NOAA's Northeast Fisheries Science Center on a remote basis (with optional on-site work in Woods Hole, MA). The role involves analyzing the impacts of USDA bulk purchase programs on Atlantic groundfish markets, prices, and fishing patterns across three phases: data assembly, analytical research, and reporting. Candidates must hold a Master's or Doctorate in economics, data science, or related fields, be a US Citizen eligible for Public Trust clearance, and possess expertise in R, Python, GIS, geospatial analysis, econometrics, and statistics. The position offers a salary range of $75,000–$95,000 and supports collaborative, open science practices within a diverse interagency team."
}

did:plc:sjdzta3aangdjnmvktxvei22 | at://did:plc:sjdzta3aangdjnmvktxvei22/app.xptracker.job.listing/3mjjgrigi7o25

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