Youtube Monetization Jobs (NOW HIRING)

Data Scientist Lead, Creator Monetization

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?

That question is the entire job.

We're hiring a Data Scientist Lead to design and run the experiments that will help us answer it. You'll build a portfolio of incrementality tests, lift studies, and measurement frameworks - starting scrappy, getting sharper with every campaign, and using what we learn to inform what we build, what we sell, and where we double down next.

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. The strategy isn't fully baked. The org isn't fully built. Some of the answers don't exist yet - that's part of the appeal. You'll be one of the people figuring them out.

• 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.

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. And underneath it all, 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.

• 5+ years in a data 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.

• Experience with cross-platform measurement - quantifying lift when the same campaign runs on YouTube and TikTok and Meta.
• You've 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.
• You've worked closely with creators or talent before and understand that the creative side of this work matters as much as the math.