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Founding Data Scientist, Analytics

Gptzero · Toronto Hybrid · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyGptzero
TitleFounding Data Scientist, Analytics
Normalized title-
Department / teamGrowth / Growth
LocationToronto, ON, Canada
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Gptzero.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 Toronto.Open
Department jobsActive postings in Growth.Open
Work model jobsActive Hybrid 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

CompanyGptzero
Source955acd3d-4cc1-4f7b-b208-04fa58c20edd
ATS providerAshby

Description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute. We're looking for a Product Data Scientist who can dig into user behavior and product performance, run experiments, and build dashboards that reveal how customers use our web, API, and ML-powered products. You’ll help teams make smarter product decisions, improve engagement and retention, and ensure our models deliver real value in production. What you’ll do: Analyze user behavior across web and API products to uncover insights and growth opportunities Define, own, and evolve core product metrics (e.g. activation, engagement, retention, accuracy) Design and analyze experiments to evaluate product changes and inform decisions Build dashboards and self‑serve analytics to support product and business decisions What we’re looking for: 3+ years of experience in product data science, analytics, or a related role Very proficient with Python, SQL, and Pandas Strong foundation in statistics, experimentation, and causal inference Deep understanding of AI-powered products, including model performance, cost and speed tradeoffs Ability to translate business and product questions into rigorous analyses High ownership mindset with a bias toward action, learning, and iteration Comfort working in fast‑moving, ambiguous, 0 → 1 environments Bonus Experience working closely with ML or research teams Experience with Databricks (PySpark) and Amplitude Who you’ll be joining We’re a small team. We value ownership, transparency, and listening to each other. Everyone works and interacts with everyone. Everyone is free to attend meetings across product functions, whether it's diving into designs or dropping into our ML learning groups. Here are some people you’ll work closely with. You’ll be meeting everyone. Edward (CEO), data-powered investigative journalism at BBC and Bellingcat, threat intelligence at Microsoft, ML researcher at Princeton Alex (CTO), Ph.D. dropout, R&D at Uber self-driving and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford Hriday (Growth Lead), expert on taking products viral. Founded Wildfire, raised $3M, scaled it to 1M users and exited to Opendoor. Most recently, he worked on growth at Perplexity. Jacob (Full Stack), top of class at Waterloo, ex-Affirm, Lime, Level and Zynga Midhun (Full Stack), former India lead at Angelist, former co-founder of Nuance, Ex-Intuit/Bloomberg Our Perks 🏥 Health, dental, and vision coverage 💻 Hybrid work in Downtown Office with lunch 🚀 Competitive salary 🍰 Competitive equity for a founding team member We are a cash-flow positive/profitable company experiencing exponential growth in multiple industries. We are open to sharing our growth metrics with applicants. 🎉 Quarterly team retreats and offsites 🏝 Flexible PTO 💡Learning stipend, mentorship, and time with world-class advisors, including: Tom Glocer (former CEO of Reuters, who recently reviewed the beta and is advising our product team on launching hallucination detection) Gaurav Vohra (former Head of Growth at Superhuman, taking them from $0 to $10Ms of revenue, advising our growth team biweekly) Russ Heddleston (exited CEO Docsend to Dropbox, recently dropped into all-hands to share additional strategies for growing our self-serve GTM motion) Ruslan Salakhutdinov (former director of AI at Apple, and current VP of Research for LLama, who meets monthly with our team to advise on AI model development) Amy Saper (founding product marketer at Stripe, who offers time with our team on growth strategies) Jack Altman (CEO of Lattice, brother of Sam Altman) on building great product culture Mike Smith (COO Walmart.com , COO StitchFix) and Jeff Barrett CTO StitchFix, on scaling a great engineering team. At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

Full job record

Job ID3d13685bde35031be46ebc0e86d47a55a5539921
Org IDca44292e-2038-45cb-8f22-9df2c4f185e2
Source ID955acd3d-4cc1-4f7b-b208-04fa58c20edd
Board ID955acd3d-4cc1-4f7b-b208-04fa58c20edd
Providerashby
Provider Job Keyb330bd82-9b81-4e1c-955b-b163ffa75c51
TitleFounding Data Scientist, Analytics
Normalized Title
Statusactive
Activeyes
Location TextToronto Hybrid
DepartmentGrowth
TeamGrowth
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/gptzero/b330bd82-9b81-4e1c-955b-b163ffa75c51
Apply URLhttps://jobs.ashbyhq.com/gptzero/b330bd82-9b81-4e1c-955b-b163ffa75c51/application
First Seen At2026-05-29 06:27:35Z
Last Seen At2026-06-06 09:17:40Z
Last Checked At2026-06-06 09:17:40Z
Last Changed At2026-05-30 07:54:53Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=gptzero/date=2026-06-06/2026-06-06T09-17-29-315Z-c33875c763e85a820abc4299d9cd51f44a1b178365c662ddf61509b20a40abb7.json
Event Fields
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  "last_changed_at": "2026-05-30T07:54:53.539Z",
  "active_status": "active"
}
Parsed Structured
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  "location": {
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    "region": "ON",
    "country": "Canada",
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  "inferred_at": "2026-06-06T09:17:40.648Z",
  "launch_scope": {
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  },
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  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Growth",
  "title": "Founding Data Scientist, Analytics",
  "jobUrl": "https://jobs.ashbyhq.com/gptzero/b330bd82-9b81-4e1c-955b-b163ffa75c51",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/gptzero/b330bd82-9b81-4e1c-955b-b163ffa75c51/application",
  "isListed": true,
  "isRemote": false,
  "location": "Toronto Hybrid",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Growth",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "New York HQ"
    }
  ]
}
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