layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Data Science Lead, Global Creator Platform at Beast Industries / MrBeast | LAYIQ

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.

Data Science Lead, Global Creator Platform

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