bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesOpenAIData Scientist, Core Experimentation

Data Scientist, Core Experimentation

OpenAI · Seattle · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyOpenAI
TitleData Scientist, Core Experimentation
Normalized title-
Department / teamData Science / Data Science
LocationSeattle, WA, United States
Work modelHybrid / Hybrid
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 OpenAI.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 Seattle.Open
Department jobsActive postings in Data Science.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

CompanyOpenAI
Source0cd4593e-8bd2-40af-a7c0-80a50e54698b
ATS providerAshby

Description

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the Role We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI’s core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company. You’ll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You’ll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use. This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale. In this role, you will: Drive the statistical direction and technical strategy for OpenAI’s experimentation platform Design and improve experimentation methodologies used across product and research teams Build pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicity Improve the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failures Developscalable analytical systems and pipelines in Python and distributed compute environments Partner with engineers and product teams to improve experiment design, metric quality, and decision-making practices Lead investigations into complex experimentation anomalies and measurement failures Establish best practices for experimentation governance, interpretation, and statistical correctness Mentor other data scientists and raising the overall technical bar for experimentation and causal inference You might thrive in this role if you have: Experience building, scaling, or operating experimentation platforms at a large technology company Deep expertise in statistics, causal inference, and online experimentation methodology Strong understanding of practical experimentation challenges in production systems Experience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effects Strong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark) Experience designing analytical data models and scalable experimentation pipelines Ability to communicate complex statistical concepts clearly to technical and non-technical audiences Track record of influencing technical strategy through hands-on technical leadership Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued Workplace & Location This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership. Compensation Range : $293K - $325K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Full job record

Job IDc0598e7cd338fcaa25f0c54d32e4b27d96a67740
Org IDc221c23f-16cb-4ca1-b4cf-11e90e650a62
Source ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Board ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Providerashby
Provider Job Keye90a44a7-fc2e-49bf-aec4-d43b9e3d8e92
TitleData Scientist, Core Experimentation
Normalized Title
Statusactive
Activeyes
Location TextSeattle
DepartmentData Science
TeamData Science
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionWA
CitySeattle
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/openai/e90a44a7-fc2e-49bf-aec4-d43b9e3d8e92
Apply URLhttps://jobs.ashbyhq.com/openai/e90a44a7-fc2e-49bf-aec4-d43b9e3d8e92/application
First Seen At2026-05-29 05:23:29Z
Last Seen At2026-06-06 19:14:33Z
Last Checked At2026-06-06 19:14:33Z
Last Changed At2026-05-29 05:23:29Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=openai/date=2026-06-06/2026-06-06T19-07-10-217Z-546cfa69b1194ed1036069c84088321e27543dfc6a81b7979bc13c3350d33d85.json
Event Fields
{
  "content_hash": "c00dcd01a3abf2266c163ff8dd4106b76f4333e2822d57e67353ace31e864c87",
  "source_hash": "6cd67ad36decb4badd34800146906a685074b29e40e67c695d246c71b56bc927",
  "last_changed_at": "2026-05-29T05:23:29.773Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Seattle",
    "city": "Seattle",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:14:32.959Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Seattle",
      "city": "Seattle",
      "region": "WA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "id": "e90a44a7-fc2e-49bf-aec4-d43b9e3d8e92",
  "team": "Data Science",
  "title": "Data Scientist, Core Experimentation ",
  "jobUrl": "https://jobs.ashbyhq.com/openai/e90a44a7-fc2e-49bf-aec4-d43b9e3d8e92",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/openai/e90a44a7-fc2e-49bf-aec4-d43b9e3d8e92/application",
  "isListed": true,
  "isRemote": false,
  "location": "Seattle",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Data Science",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/c0598e7cd338fcaa25f0c54d32e4b27d96a67740?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/c221c23f-16cb-4ca1-b4cf-11e90e650a62JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/0cd4593e-8bd2-40af-a7c0-80a50e54698bJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/c0598e7cd338fcaa25f0c54d32e4b27d96a67740/eventsJSON