Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. This role deals specifically with blockchain data. Design data models, build tooling and pipelines for blockchain data, and build mechanisms of data quality measurement and enforcement to ensure reliability and completeness of data.
You’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.
Design, build, and maintain scalable data processing systems and analytics platforms. Lead our efforts to create robust, in-house data infrastructure solutions to support our growing data needs and business intelligence requirements. Design and implement efficient data storage and processing solutions for large-scale datasets; architect a new data processing framework to replace existing third-party solutions.
A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.
Join a product start-up and expand the Big Data Engineering team. As a Big Data Engineer, you will be responsible for designing, developing, and optimizing large-scale data processing pipelines, collaborating with data scientists and software engineers to ensure the seamless integration of data solutions. Work with the latest Big Data tools and cloud solutions, collaborating with clients across the UK, US, and Europe.
Contributing to the delivery of scalable data architectures, and data product development & design best practices. Leading collaborations across data disciplines to develop, optimise and maintain data pipelines and solutions. Skilled at distilling business and analytics requirements into well-defined engineering problems.
As a Sr Data scientist, you will play an important role in shaping our AI driven products and services. Your primary focus will be scouring our data warehouse, transforming large data into Machine learning ready datasets. You will further assist in developing, evaluating, A/B testing and deploying Machine learning models into production.
Work with a team of engineers to build first-party and third-party data integration with external data sources. Build and architect scalable low-latency backend systems and big data pipelines. Provide technical guidance in designing scalable solutions and best practices. Make a positive impact on the team's productivity and growth.
Help build the critical infrastructure that powers the future of intelligent, agent-driven systems at Upwork. You’ll be responsible for collecting high-quality training data, building scalable featurization pipelines, and delivering performant systems to support model training and inference at scale. This role is built for Explorers , engineers who thrive in ambiguity, move fast with instinct, and are energized by greenfield challenges.
As a Solution Architect – Advanced Analytics, you will lead the design and delivery of cloud-native analytics architectures for enterprise clients. This role requires strong consultative and business communication skills. You’ll work with clients to assess needs, define solutions, and lead implementation across the data lifecycle. You’ll play a key role in articulating the business value and ROI of these solutions.