Data Scientist

About The RoleWe are looking for a Mid–Senior Data Scientist to work hands-on with one of our key clients: a large hospitality chain.¿Todo listo para enviar su solicitud? Asegúrese de comprender todas las responsabilidades y tareas asociadas a este puesto antes de continuar.You will be embedded with the client team, acting as a technical and analytical partner for pricing, revenue optimization, and AI initiatives.Beyond building models, you will help shape the roadmap, define priorities, and translate business strategy into deployable data science solutions.This is a high-impact, client-facing role for someone who enjoys combining strategic thinking with hands-on execution—and seeing their work directly affect real business outcomes.About Crata AICrata AI is an applied AI and data company that works as a true technical and strategic partner for ambitious businesses.We don’t sell generic software—we design, build, and deploy custom intelligence systems that move real business metrics: revenue, margins, and operational leverage.Our model sits between consulting and product: we help clients define what to build, why it matters, and then we ship it.From pricing engines and demand forecasting to AI copilots and decision systems, we turn data into an operating advantage.We work with companies that already know AI is the future—but need a team that can bridge strategy, data, and execution.That’s where we come in.What You Will DoDevelop custom AI solutions end-to-end, from problem framing and modeling to production deployment—turning business strategy into real operating systems.Own and evolve pricing and revenue optimization models (forecasting, elasticity, dynamic pricing).Work with client stakeholders to identify value opportunities, define use cases, and prioritize initiatives.Design pricing strategies and analytical approaches, not just models.Plan and execute A/B tests and experiments to validate impact and guide decision-making.Translate strategic discussions into concrete data science roadmaps and implementations.Build and maintain data pipelines and model workflows in cloud-based environments.Act as a trusted partner to pricing, revenue, and operations teams, balancing business constraints with technical rigor.What We're Looking For Must-HaveStrong experience in Data Science (forecasting, ML, optimization).Excellent Python skills, with production-quality standards.Other languages are a plus.Hands-on experience with AWS or other cloud platforms.Proven experience designing and analyzing A/B tests or controlled experiments.Background in pricing, demand forecasting, or revenue management.Ability to discuss, plan, and shape analytical solutions with non-technical stakeholders.Fluent in both English and Spanish (minimum B2 in each), able to operate professionally in a bilingual, client-facing environment.Nice-to-HaveExperience in hospitality, travel, airlines, or similar industries with perishable inventory.Client-facing, consulting, or embedded-team experience.Familiarity with data orchestration, experimentation platforms, or analytics tooling.Practical DetailsLocation: Barcelona or willing to relocateWork model: Hybrid (2–3 days/week on client site)Experience level: Mid to SeniorWhy Crata AIFast-track career growth.We are a small, top-tier team in rapid expansion.If you perform, your scope, ownership, and influence will grow quickly—there are no rigid ladders or slow promotion cycles.Real impact: You won’t build toy models; you’ll own systems that directly influence revenue and business decisions.High bar: We are building a team of exceptional operators.You’ll work with people who care deeply about quality, leverage, and learning.Strategic + hands-on.This role blends data science with product thinking and business strategy.You’ll help decide what to build, not just how.Client proximity.You’ll work embedded with a high-scale, real-world operation, seeing your work used daily.Unusual exposure.You’ll work directly with founders, C-level teams, and real P&Ls. xiphtebFew roles offer this level of business context.