Lead end-to-end data migration for Oracle Cloud implementations across SCM, Procurement, and Finance.
Design and execute data migration strategies using FBDI, ADFdi, HDL, and REST APIs.
Perform data reconciliation, validation, and support cutover and production migration activities.
Version 1 is a technology and transformation solutions company trusted by global brands. With over 3,300 employees and €350/£300m revenue, we are a values-driven, award-winning employer with a strong culture of inclusion and well-being.
Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.
Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.
Analyze on-chain activity using platforms like Dune Analytics and Flipside to uncover insights for strategic decisions.
Build analytical frameworks and dashboards to monitor ecosystem performance and growth.
Collaborate with strategy, business development, and product teams to translate complex data into actionable recommendations.
The partner company operates a blockchain ecosystem focused on DeFi, payments, and emerging technologies. It offers a data-driven, fast-paced international environment with cross-functional teams.
Evaluate AI-generated data science deliverables, including exploratory analyses, statistical models, and machine learning pipelines, for technical quality and rigor.
Design precise grading criteria and provide detailed, evidence-based assessments to distinguish rigorous analysis from flawed work.
Apply your expertise in Python, SQL, and experimentation to improve the reliability and performance of AI systems.
Evaluate LLM responses for accuracy, clarity, and completeness.
Fact-check technical claims using authoritative references.
Validate code and outputs, and annotate model performance.
Prolific builds the largest pool of high-quality human data for AI development, serving over 35,000 AI developers, researchers, and organizations. They connect researchers with a global community to collect ethically sourced behavioral data.
Build and operate ingestion pipelines across telematics provider integrations, handling streaming, polling, and batch with appropriate retry and rate-limiting.
Own the normalization layer: map inconsistent provider payload into canonical vehicle, driver, HOS, and fuel models, and defend that schema as new providers are added.
Design storage and query patterns for high-volume time-series vehicle data, balancing real-time API latency with analytical workloads.
We are Catena, the universal API for fleet telematics data, giving insurers, factors, and freight-tech platforms a single integration to access carrier vehicle data across every major ELD and telematics provider. We're an early-stage startup with $8.25M in funding and a small, hands-on team where you'll have high ownership and direct impact.
Partner with leaders to analyze business workflows, identify inefficiencies, and design data-driven solutions using AI and automation.
Build AI assistants, dashboards, and automated workflows to improve customer experience and operational performance.
Measure business impact through metrics like time saved and increased productivity while promoting responsible AI use.
Quest Analytics improves provider network management with innovative technology. With 90% of America's health plans using their tools, they offer a collaborative culture and workplace flexibility.
Define standards, taxonomies, and requirements for data flow and reporting across the business.
Analyze business performance to uncover drivers behind churn, retention, and conversion for leadership action.
Lead the analytics function, team development, and AI-driven analytics strategy at SQUIRE.
SQUIRE is a business management system designed for barbers, shop owners, and their communities, providing tools and resources to help barbers manage operations and increase revenue. Founded in 2015, SQUIRE is trusted by over 30,000 barbers across 5,000+ shops in over a thousand cities worldwide.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.