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Data Scientist

Agentio · New York, NY · On Site · Active · Ashby

Job facts

FieldValue
CompanyAgentio
TitleData Scientist
Normalized title-
Department / teamEngineering / Engineering
LocationNew York, NY, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Agentio.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site 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

CompanyAgentio
Sourceb4cc270d-3a3e-4579-80e2-b8a41d7aaa98
ATS providerAshby

Description

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads—automating sourcing, pricing, contracting, delivery, and measurement with AI—so work that took months now happens in minutes. We’re on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work—finally being paid in proportion to the value they create. That shift is accelerating: Unilever’s CEO has said the company will move roughly half of its ad budget into social and creators—Unilever is among the world’s largest advertisers, spending around $9–10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio has raised $56M to date at a $340M valuation , including a recent Series B led by Forerunner , which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp . Agentio has been named to Forbes’ Next Billion Dollar Startups, 2025 , and our platform is already used and loved by the world’s leading marketers and creators. We are just getting started! Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step—from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We’re expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you’ll have an immediate impact—shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions—what we build, how we price, and where we scale—so creators and brands win together. If you’re curious, collaborative, and excited to own outcomes in a fast-moving environment, let’s talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you’ve likely ever worked before — with far greater reward A positive, honest, empathetic, and curious teammate You understand that Agentio is building in-person, and is in-office 5 days/week What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO – Take the time you need to recharge Comprehensive Health Coverage – Top medical plan through Aetna Dental & Vision Plans – Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan – Invest in your future while you build your career $100 Monthly Lifestyle Credit – Use it to shop with our amazing Agentio Brand Partners Daily lunches and snacks in the office to keep you at your best Dinner provided Monday - Thursday Gym in the building! – Your workout, right downstairs

Full job record

Job ID9db21542b4fe43693558e8d4c29ff688ecb22757
Org ID41a58d43-9d63-441b-8ef5-876367ec60f8
Source IDb4cc270d-3a3e-4579-80e2-b8a41d7aaa98
Board IDb4cc270d-3a3e-4579-80e2-b8a41d7aaa98
Providerashby
Provider Job Keye4438c35-0766-4a03-8a3a-335514a2dc3a
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/agentio/e4438c35-0766-4a03-8a3a-335514a2dc3a
Apply URLhttps://jobs.ashbyhq.com/agentio/e4438c35-0766-4a03-8a3a-335514a2dc3a/application
First Seen At2026-05-29 06:57:11Z
Last Seen At2026-06-06 09:27:23Z
Last Checked At2026-06-06 09:27:23Z
Last Changed At2026-05-29 06:57:11Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=agentio/date=2026-06-06/2026-06-06T09-27-17-795Z-a96c560645cb3e6ac3d0e5f38c9c86b4cb15a6c2ab59380239c4e8bb5a53c37c.json
Event Fields
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  "last_changed_at": "2026-05-29T06:57:11.788Z",
  "active_status": "active"
}
Parsed Structured
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    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:27:23.666Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
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      "region": "NY",
      "country": "United States",
      "is_remote": false,
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    "countries": [
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    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Engineering",
  "title": "Data Scientist",
  "jobUrl": "https://jobs.ashbyhq.com/agentio/e4438c35-0766-4a03-8a3a-335514a2dc3a",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/agentio/e4438c35-0766-4a03-8a3a-335514a2dc3a/application",
  "isListed": true,
  "isRemote": false,
  "location": "New York, NY",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/41a58d43-9d63-441b-8ef5-876367ec60f8JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/b4cc270d-3a3e-4579-80e2-b8a41d7aaa98JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/9db21542b4fe43693558e8d4c29ff688ecb22757/eventsJSON