Top Data & Analytics Jobs
The Sr. Business Analyst will design and manage decisions in the rules engine platform, ensuring optimal decisions in customer acquisition and underwriting. Responsibilities include implementing new decisions, maintaining the rules engine, monitoring performance metrics, and conducting data analysis to optimize performance and support underwriting strategies.
As a Senior Data Engineer at Two Barrels, you will manage data, focusing on infrastructure, ETL pipelines, and scalable database design. Responsibilities include improving data models, collaborating with analysts, and automating processes to enhance efficiency while ensuring data integrity.
As an SAP CoP Senior Master Data Governance Expert, you will oversee the planning and execution of software solutions related to materials, vendors, and financial data within the SAP community. Your role involves managing large-scale projects, ensuring quality data governance, and collaborating with global teams to optimize SAP applications. You will lead design sessions, validate implementations, and support service objectives while driving program excellence.
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The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
The Supervisor-Vendor Relationship Manager role focuses on enhancing vendor governance, collaboration, and strategic initiatives. The candidate will use technical expertise to build products, manage projects, and execute advanced data analytics, utilizing various tools for integration, visualization, and automation, especially within the Microsoft Power Platform.
The Principal Analytics Engineer at Upstart will design and develop scalable data models for analytics and machine learning, implement best practices in data governance and quality, and collaborate with various teams to maximize data value. The role demands strategic partnership and technical vision formulation for analytics engineering.
As a Data Scientist at PrizePicks, you will develop complex models and algorithms for simulating sporting events, analyze model performance, and collaborate with analytics teams to drive business insights and growth in the DFS market.
The Lead Data Scientist will drive growth through data science by analyzing user behavior, creating attribution models, and developing marketing experiment frameworks. Responsibilities include informing acquisition strategies, building dashboards for monitoring trends, and mentoring junior data scientists.
The Sr Data Scientist role focuses on providing advanced analytical capabilities and solutions for data science initiatives. Responsibilities include developing predictive models, employing machine learning algorithms, creating insightful reports, leading projects, and collaborating with team members while maintaining industry knowledge and best practices.
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