Data Science Lead, Global Creator Platform

Data Science Lead, Global Creator Platform

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?

We're hiring a Data Science Lead, reporting to the CTO, to design and run the experiments that will help us answer it. You’ll start as a senior individual contributor and help build a quant team over time. You'll build a portfolio of incrementality tests, lift studies, measurement frameworks, and whatever else helps drive the platform forwards. You should expect many of our strongest beliefs about creator marketing to be wrong - a key part of this role is designing experiments that overturn assumptions and help us discover what actually drives outcomes.

This is an early role on a new 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. You'll be one of the people figuring this out from scratch, alongside the team behind the most-watched creator on the planet.

What you'll do

• Help us run our first real campaigns and learn from them — fast. Design tests that get useful answers in weeks 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 worth.
• Translate findings into clear, brand-facing case studies and internal product decisions, and iterate to sharpen the next sales conversation or product bet.
• Drive adoption of measurement frameworks across sales, creator partnerships, and leadership.
• Work directly with creators, creative leads, sales, and engineering. Help generate and evaluate 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 and determine where our long-term advantage lives.

In your first 6-12 months, you'll have:

• Established the measurement foundations needed to support experimentation, attribution, and campaign performance analysis, including instrumentation, core datasets, and data quality standards.
• Designed and shipped Vyro's first incrementality studies across our earliest brand campaigns.
• Authored a measurement playbook our sales team uses in brand conversations.
• Established the baseline metrics leadership uses to evaluate creator-brand match quality and platform ROI.
• Built the foundation of a quant practice.

 

Required qualifications:

• 7+ years of professional experience in data science, ad measurement, or a similar analytics role with a strong emphasis on providing experiments that shipped and influenced decisions. 
• Demonstrated ability to independently scope, execute, and communicate analytical work in ambiguous environments with limited existing infrastructure.
• Proficiency in Python/R for statistical analysis and modelling, and fluency in SQL.
• Experience with data collection, APIs, and integration requirements across digital platforms.
• Practical working knowledge of incrementality testing, causal inference fundamentals, and the limits of last-click attribution.
• Experience in one of the following environments: (a) a platform creator-monetization or partnerships team, (b) a measurement / incrementality / MMM vendor, (c) an in-house or agency brand measurement team running creator or influencer programs.
• Strong communication and data presentation skills to varied stakeholders.
• Bachelor’s or Master’s Degree in Data Science, Statistics, Math, Computer Science, or related

Bonus points

• 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.
• You've worked closely with creators or talent before and understand that the creative side of this work matters as much as the math.

The target total compensation ranges from $150,000 to 200,000, an employee equity plan grant, bonus, plus comprehensive benefits.