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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.
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Responsible for planning and implementing advertising campaigns across various channels, measuring campaign performance, conducting optimization, and staying updated on ad tech advancements. Collaborate with acquisition marketing team to align strategies and drive key insights for the buyer journey. Requires 4-5 years of digital marketing experience and strong analytical skills.
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.
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.
Lead the Integrations Team in designing and developing scalable integrations with EHRs, overseeing architectural direction and data infrastructure while managing stakeholder relationships and project management tasks.
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.
The Entry Level Underwriting Analyst will support the underwriting team by performing quantitative and qualitative analyses of insurance data, evaluating client risk profiles, assisting with pricing, researching industry trends, and preparing presentations for executives.
The Associate Research Scientist will focus on developing innovative solutions for the roofing and waterproofing industry, involving market insights, product commercialization, and new technology identification while conducting experiments and material evaluations in the laboratory.
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