Data Scientist

Senior Data Scientist — Performance Team About the Role: You'll join the Performance team, the engineers and scientists who own advertiser outcomes at Vibe: prediction models, bidding, and the delivery stack that drives both. This role exists because our modeling roadmap is bigger than our current bandwidth. You will help to build the core prediction architecture that powers every bid, and the scale and diversity of data available to us is about to grow significantly. We need someone who can turn that into measurable advertiser performance, not just publishable ideas. Reasons to join: CTV performance advertising is still being invented. Cross-device attribution, identity graphs linking TVs to households — the modeling problems are nothing like web display or search. There's no playbook to copy; you'd be writing it You'll work on data few others have. We're building toward crossing CTV signal with real-world purchase and behavioral data: joining what people watch with what they actually buy. Measurement, incrementality, training data: all of it changes The timing is right. Vibe is one of the fastest-growing CTV companies out there. Early enough that the model architecture is yours to shape. Late enough that your work ships to real advertisers and shows up in the numbers within weeks What You'll Do: Own the prediction stack Improve our unified multi-task model: one architecture predicting visits, purchases, and other outcomes simultaneously, with heads learning from each other through shared representations to handle sparse conversion funnels and enable more precise bidding decisions Take ideas from exploration to production yourself: dataset design, architecture, training, debugging (gradients, convergence, etc.), deployment, and monitoring for drift and regression. You will work closely with Performance engineers building the serving and bidding infrastructure Design new features from raw signal, including household-level features from our identity graph Prepare the modelling stack to absorb new, richer data sources Optimize for business impact: measurable uplift for advertisers over offline metrics that never ship Iterate in production, not in your head: ship, measure, adjust What You Need Real hands-on deep learning experience in a professional environment Strong Python; PyTorch preferred (TensorFlow or JAX is fine) Comfort diagnosing why a model works or fails: data leakage, bias, calibration, distribution shift, optimization issues Ability to build algorithms from scratch and reason about what's under the hood A track record of framing your work in business outcomes: you can point to the KPI you moved and by how much Nice-to-Haves Based in Paris or open to relocating (hybrid, 2–3 days in office); relocation support available Worked with massive-scale datasets: billions of impressions, events, user data Deep learning on tabular data and sparse user representations Ad tech experience, especially CTR/CVR prediction or recommendation models in a DSP Familiarity with identity graphs or cross-device attribution Adjacent domains with large-scale decision-making on rich tabular data: retail, travel and dynamic pricing (booking, airlines), systematic trading Production ML tooling: ONNX export, orchestration frameworks (Dagster), inference serving (Triton) About Vibe At Vibe.co , we're reimagining how brands reach audiences in the age of streaming. We believe streaming TV is no longer just a brand awareness play, it's the next great performance marketing channel. We're building the infrastructure to unlock this $100B opportunity. Vibe.co provides an Audience First Streaming TV Advertising solution for marketers to unlock TV as a growth channel. Our all-in-one solution combines hyper-targeted audience segmentation, AI-powered insights and recommendations, real-time campaign optimization, and incrementality measurement, giving brands of all sizes the precision and transparency they've come to expect from social and search, but on TV. Trusted by over 10,000 brands, Vibe.co reaches more than 120 million households across 500+ apps and channels, delivering an average 250% return on ad spend and 20% sales lift. The company hit a $100 million revenue run rate in under two years, ranking among the ten fastest software companies to reach that milestone. Vibe.co 's investors include Hedosophia (an early backer of Spotify, Uber, and Airbnb), Elaia, Singular, QuantumLight (Revolut CEO Nik Storonsky's fund), and Illusian (Supercell CEO Ilkka Paananen's fund), as well as angel investors including Carolyn Everson, board member of The Walt Disney Company and Coca-Cola. Nirav Tolia, CEO of Nextdoor, sits on the company's board of directors. Founded in 2022, Vibe.co is widely recognized as the category-defining platform in streaming TV advertising, bringing the power of Meta and Google-style performance marketing to the fastest-growing segment in media.