Data Scientist

Agentio Inc.

New York, New York, United States

New York, New York, United States

Über

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads—automating sourcing, pricing, contracting, delivery, and measurement with AI—so work that took months now happens in minutes. We’re on a mission to transform a $600B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work—finally being paid in proportion to the value they create. That shift is accelerating: Unilever’s CEO has said the company will move roughly half of its ad budget into social and creators—Unilever is among the world’s largest advertisers, spending around $9–10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio’s investors include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes’ list of Next Billion Dollar Startups, 2025. We've raised $16M to date, our product is already used and loved by the world’s leading marketers and creators— and we’re just getting started. Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step—from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We’re expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you’ll have an immediate impact—shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions—what we build, how we price, and where we scale—so creators and brands win together. If you’re curious, collaborative, and excited to own outcomes in a fast-moving environment, let’s talk. You
Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you’ve likely ever worked before — with far greater reward A positive, honest, empathetic, and curious teammate
What You'll Get
The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment.
Benefits & Perks
Flexible PTO – Take the time you need to recharge Comprehensive Health Coverage – Top medical plan through Aetna Dental & Vision Plans – Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan – Invest in your future while you build your career $100 Monthly Lifestyle Credit – Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! – We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! – Your workout, right downstairs
The estimated base compensation for this role is between $130,000 & $ 225,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. #J-18808-Ljbffr

New York, New York, United States

Sprachkenntnisse

English

Hinweis für Nutzer

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