Create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform. Assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. Leverage expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.
Job listings
If you are passionate about transforming data not only into information, but into actionable intelligence through Machine Learning models, this opportunity is for you! We’re looking for someone who enjoys building data pipelines and developing and implementing predictive models that generate a real impact on business.
As a Senior Product/Marketing Analyst, you will play a crucial role in driving data-informed decisions across product and marketing initiatives. You will analyze complex datasets, generate actionable insights, and collaborate with cross-functional teams to optimize performance and business growth. This position is ideal for a data-driven storyteller with expertise in product and marketing analytics and a strong technical foundation in modern data science tools.
As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models. This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals.
We are seeking a Lead Applied Scientist to lead our efforts in scaling the number of models deployed to production using our AI Platform over the next year. The ideal candidate will have several years of experience in ML Ops and Applied ML Research and will lead the vision for how our AI Platform can soon support dozens of models in production.
Become a trusted advisor working closely with our clients, from data owners and analytic users to C-level executives to shape their Data, Analytics and AI transformation agendas. Work at the intersection of business, technology, and innovation, driving value through enterprise data strategies, AI enablement, data product development, and monetization initiatives. Assess the current state of clients’ data landscapes, AI readiness, and analytics maturity.
Help developers and technical teams learn how to build, deploy, and scale modern machine learning and AI systems in production. Design and deliver training materials—ranging from interactive labs and instructor-led workshops to certification programs and short-form videos—that teach the foundational and advanced concepts behind scalable ML/AI systems.
Europe
Unlimited PTO
Looking for a Senior Data Engineer to build a rock-solid data foundation from the ground up, you'll lead data at Rarible. Build a best-in-class data stack that powers everything from internal dashboards to AI-based insights, architecting a new structure that serves internal teams and future AI use cases.
Implementação e manutenção das principais funcionalidades dos processos de ML, incluindo pipelines de ML, produtização de modelos, monitoramentos e avaliações; Traduzir as necessidades de negócios em sistemas e aplicações de ML eficazes e eficientes; Identificar e enfrentar proativamente os desafios relacionados aos sistemas e aplicações de ML, propondo soluções e implementando melhorias.
As an Analytics Engineer supporting Product Data Science, you will be responsible for delivering high-quality data assets (data pipelines and models) that enable both rapid decision-making and the development and deployment of machine learning models. This role will play a crucial role in bridging the gap between traditional analytics engineering and the growing needs of our machine learning initiatives.