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.
Build deep-dive analyses and machine learning models to better forecast risk across the portfolio for our insurance captive for contracts and claims activity. Perform A/B testing and optimization across consumer-facing product touch points on merchant sites. Drive portfolio-wide revenue optimization and communication to merchants on personalized optimization based on testing across our platform.
As a Senior Databricks Solutions Consultant, you will work closely with clients to deliver high-impact data engineering solutions on the Databricks platform. In this hands-on role, you will contribute to the design, development, and optimization of data platforms while collaborating with more senior architects and technical leads. You will support client success by applying best practices in data engineering and by helping teams adopt Databricks effectively.
We are looking for a Senior Analytics Engineer to join our Data Analytics team to design, build, and maintain the infrastructure that enables data analysis and business intelligence. The primary focus for this role is to provide clean, transformed data, to maintain data documentation and definitions, and to contribute to the semantic layer that enables AI assisted analytics.
Shape the Future of AI — On Your Terms. As part of the Welocalize family, we partner with leading global companies to power inclusive, human-centred AI — built on high-quality language data. Whether you're a professional linguist or just passionate about how language and technology intersect, join our talent pool and be first in line for future task-based projects in areas like annotation, evaluation, and prompt creation.
Our client is hiring a Senior Data Analyst to join a small but impactful data team. This position goes far beyond dashboards—it's about uncovering meaningful insights that directly shape gameplay, guide product evolution, and influence decisions that affect millions of active players. Ideal for someone with a sharp analytical mind, strong business sense, and a passion for games.
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.
This role involves designing and implementing scalable, compliant, and analytics-ready data systems to support the Clinical Affairs team. The individual will lead the development of infrastructure and SOPs for clinical data handling, secure storage, and access, ensuring regulatory alignment. In addition to clinical responsibilities, the role will contribute to Karius' enterprise-wide data lake, helping integrate data from various sources into a unified platform.
Partner directly with the Measurement Strategy team to support the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands. Serve as a trusted advisor to our customers, focusing on driving value and confidence in results. Develop solutions to ensure robust, reliable results and seamless communication at scale. The ideal candidate is excited to dive deep into the data and communicate actionable insights to diverse audiences.
This role is a key contributor in building the foundation for data-driven decision-making across the organization. You will play an important part in maintaining governed datasets, scalable semantic layers, and analytical infrastructure that enable accurate reporting, forecasting, and advanced modeling throughout the business. You will collaborate with cross-functional stakeholders in Product, Sales, Customer Success, and Finance to deliver reliable data solutions.