Top Data & Analytics Jobs
As a Senior Machine Learning Engineer, you will research, develop, deploy, and monitor ML models to enhance patient engagement and outcomes. You will collaborate with software engineers to create scalable software and infrastructure, translating business objectives into machine learning problems and analyzing user data to optimize treatment processes.
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
Design, implement, and maintain data architecture for Kobie Alchemy Loyalty Cloud (KALC). Translate business requirements into technical specifications, engage with technical leadership team on data strategies, and have a solid understanding of data management in the cloud.
Featured Jobs
As an Analytics Engineer at Rec Room, you will support the data warehouse and analytics layer, develop ELT pipelines, design dashboards, and collaborate with various teams on data modeling and analysis, while ensuring data quality and scaling infrastructure.
As a Staff Software Engineer, you will develop scalable data storage and processing systems, mentor engineers, shape product strategy, and ensure high-quality engineering processes. Key responsibilities include architecting large-scale systems and optimizing data pipelines for efficiency and performance.
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As a Data Scientist at StackAdapt, you will innovate and improve machine learning algorithms to enhance advertising performance. You'll collaborate with engineers to write production code, prototype algorithms, and analyze data-driven insights. The role requires problem-solving abilities and a deep understanding of statistics and data science concepts.
As a Data Scientist at EverQuote, you will develop and deploy AI and machine learning models to solve business problems. You will work in a cross-functional team, utilizing statistics and machine learning, while mentoring teammates and communicating results to a variety of audiences. Your role is essential in driving business improvements through innovative data solutions.
Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.
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The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.
The Senior Backend Engineer will lead the development of fraud detection solutions, focusing on backend software, traffic analysis, and the implementation of scalable systems. Responsibilities include working with data sets to identify fraud patterns and enhancing backend systems for real-time processing, collaborating with cross-functional teams.
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