Marketing Scientist Lead, Creator Monetization
MrBeast · New York, NY · 3 wk ago
HybridAnalystFull-time
About the role
Beast Industries is building the operating system for creator monetization — the connective tissue between the world's biggest creators and the brands that want to reach their audiences. Vyro is our brand-creator marketplace, and we believe there's a real opportunity to do something here that no one else in the space is set up to do.
Where's the real incrementality — and how much is it worth?
This is an early role on a team still finding its shape. You'll work directly with leadership, sit close to the engineers and product people building Vyro, and have a direct line to the creative talent that powers Beast.
What you'll do
- Help us run our first real campaigns and learn from them — fast.
- Design tests that get useful answers in weeks, not quarters, and tighten the methodology with each iteration.
- Build the measurement playbook as we go: holdouts, geo-experiments, matched markets, retargeting studies, creative variant testing — picking the right tool for the question in front of us, not the most elegant one in the textbook.
- Partner with our buy-side operators on retargeting strategy, turning campaign exposure data into audiences and quantifying what those audiences are actually worth.
- Translate findings into clear, brand-facing case studies and internal product decisions. Every campaign should teach us something, and that something should sharpen the next sales conversation or product bet.
- Work directly with creators, creative leads, sales, and engineering — sometimes all in the same week, often without clean handoffs.
- Push hypotheses about what makes sponsored content actually convert: pacing, placement, call-to-action, narrative integration, and the subtler factors no one has quantified yet.
- Help us figure out where creator data should and shouldn't flow. You'll be a key voice on what's measurable, what's defensible, and where our long-term advantage lives.
Who you are
- You have 5+ years of experience and have already shipped measurement work that influenced real decisions.
- You're past needing your hand held on study design, but early enough in your career that you're still hungry — fired up by a clean experimental result, irritated when someone hand-waves a number.
- You can hold a tangle of moving parts in your head and explain it back simply. You see the levers and the knock-on effects where others see noise, and you can walk a brand, a creator, or a CFO through that picture without losing them.
- You're relentless about the unglamorous work — chasing the loose thread, building the tracker no one else wanted to build, keeping the study honest when it would be easier not to.
- You genuinely like the craft: spreadsheets, queries, models. That's the part of the day you'd rather not stop doing.
- You're allergic to false precision and process for its own sake. You'd rather ship a rough answer this week than a perfect one next quarter, and you know which questions are worth which level of rigor.
Required experience
- 5+ years in a marketing science, ad measurement, experimentation, or analytics role — with hands-on responsibility for experiments that shipped and influenced decisions.
- Currently or recently at one of two kinds of places:
- A platform creator-monetization team: YouTube Creator Partnerships (formerly BrandConnect), the YouTube Partner Program, or YouTube Shopping;
- TikTok One (which now houses Creator Marketplace and Spark Ads) or TikTok Shop;
- Meta's Instagram Creator Marketplace or the Partnership Ads team (formerly Branded Content Ads).
- A measurement-focused performance shop: an incrementality, attribution, or media mix modeling platform (Measured and Northbeam are good examples) — somewhere you ran or supported real lift tests for paying brands.
- Working knowledge of incrementality testing, causal inference fundamentals, and the limits of last-click attribution. You don't need a PhD — you need to know which tool fits the question.
- Comfort with SQL and a scripting language (Python or R). You can pull your own data, build your own models, and aren't waiting on someone else's dashboard to do your job.
- Bonus points:
- Experience with cross-platform measurement — quantifying lift when the same campaign runs on YouTube and TikTok and Meta.
- Shipped a real geo-experiment or matched-market test in the wild and have opinions about why most of them are designed badly.
- Familiarity with platform APIs across the major social ecosystems and a clear-eyed sense of what they do and don't expose.
- Worked closely with creators or talent before and understand that the creative side of this work matters as much as the math.
Benefits
- 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