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HomeCompaniesMrBeastData Science Engineer

Data Science Engineer

MrBeast · San Francisco · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMrBeast
TitleData Science Engineer
Normalized title-
Department / teamMBYT
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-17 / 2026-06-18
Changed / last seen2026-06-18 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from MrBeast.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in MBYT.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

CompanyMrBeast
Sourceb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
ATS providerGreenhouse

Description

About Us Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations. Data Science Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints, so the models and data systems you ship define the foundation instead of patching an old one. You're here to turn ambiguous, high-stakes business problems into models that actually move a number in production. The Product You'll be the senior technical anchor for a data science domain, owning the full lifecycle from framing the problem through deployment, monitoring, and iteration. The work spans consumer products, media, and fintech analytics, all sitting on top of an audience of 100M+ people. That means: Frame vague business problems as tractable data science problems, and pick the approach and evaluation criteria when there's little precedent. Design, build, and deploy models and the data pipelines that feed and serve them in production. Build the monitoring and retraining framework that catches drift before it hits the business. What You'll Do Own the full model lifecycle: data sourcing and quality, features, training, evaluation, deployment, monitoring, and retraining. Set and enforce the domain's standards for validation, reproducibility, experimentation, and monitoring. Partner with engineering to productionize models reliably, with the right latency, scale, and observability. Translate model behavior and its limits for product and business stakeholders, including where data science can't help. Anticipate the failure modes (leakage, drift, bias, fragility) and build safeguards before they reach production. Guide the technical work of other data scientists and engineers through design review, pairing, and mentorship. Evaluate and adopt new methods and tooling, weighing innovation against maintainability and cost. Who You Are AI-Native: You're already burning through tokens and using AI in your daily workflow to move faster from idea to shipped model. Production ML Builder: Typically 8+ years designing, building, and deploying ML models in production, with deep expertise in statistical modeling and sound judgment about method selection under uncertainty. End-to-End Owner: You've owned problems start to finish with limited supervision and been accountable for the result, not just the experiment. Honest Communicator: You frame problems as testable hypotheses, hold the line on validation rigor under deadline pressure, and communicate uncertainty honestly instead of overselling. Strong software engineering practice: production-quality code, version control, testing, and reproducible pipelines. Bonus points for setting technical direction for a data science domain, MLOps tooling for deployment and monitoring, and domain exposure in consumer products, media, or fintech. Benefits Equity: Highly competitive equity package designed for a foundational hire. Hybrid Model: Expected ~3 days per week in-office (Bay Area or NYC). The Perks — Why Work On the MrBeast Team We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to join the team that decides how those moments come to life across every screen. Competitive Salary Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance Company contributions to employee Health Savings Accounts (HSA) 401k Plan with Safe Harbor company-matching Flexible vacation policy and paid company holidays Company-provided technology package Relocation assistance where applicable, including travel and company-provided housing for the first 90 days Come build the future of the creator ecosystem with us. Benefits The Perks, Why Work On the MrBeast Team We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen. Competitive Salary Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance Company contributions to employee Health Savings Accounts (HSA) 401k Plan with Safe Harbor company-matching Flexible vacation policy and paid company holidays Company-provided technology package Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

Full job record

Job ID944ee1c3a9c1f0b10fbcdacbe7a879af9afe7b92
Org IDf5c2b89d-4bfd-4a57-a840-790f10c56a1c
Source IDb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
Board IDb54ef21d-6e29-4bb6-932b-9e6d6e2cddbb
Providergreenhouse
Provider Job Key6093081004
TitleData Science Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentMBYT
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/mrbeastyoutube/jobs/6093081004
Apply URLhttps://job-boards.greenhouse.io/mrbeastyoutube/jobs/6093081004
First Seen At2026-06-18 07:37:02Z
Last Seen At2026-06-18 07:37:02Z
Last Checked At2026-06-18 07:37:02Z
Last Changed At2026-06-18 07:37:02Z
Inactive At
Source Posted At2026-06-17 21:17:08Z
Source Updated At2026-06-17 21:17:08Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mrbeastyoutube/date=2026-06-18/2026-06-18T07-37-02-734Z-81319c01261082ad5d4943f320a84d5a9cd325443054a1fb08e487884dd2df9c.json
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Parsed Structured
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Extensions
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Native Structured
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