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Top Hybrid Data & Analytics Jobs in Philadelphia, PA
The Applied AI Scientist will develop advanced algorithms to solve complex problems, utilize statistical techniques on large datasets, evaluate emerging datasets, and contribute to thought leadership through research and publication.
As a Machine Learning Engineer at ZS, you will be responsible for building and scaling machine learning algorithms, monitoring model pipelines, writing production-ready code, and collaborating with client teams. Your role includes implementing MLOps and ensuring high-quality deliverables while keeping pace with the latest technologies.
Lead the end-to-end development and implementation of innovative AI/ML products for complex business challenges. Oversee research and design for new product lines, and solve cross-functional problems while engaging with senior clients and fostering talent within the organization.
The Distinguished Machine Learning Engineer at Capital One will provide technical leadership in developing and implementing machine learning applications. Responsibilities include delivering ML models, optimizing data pipelines, leveraging cloud technologies, mentoring engineers, and participating in the full ML lifecycle.
The Data Operations Vice President will transform data management and governance practices within the Asset Management Operations team, focusing on operational efficiency for alternative investments, leading change initiatives, and developing innovative data strategies while guiding and inspiring a diverse team.
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The Data Architect is responsible for designing and implementing data architecture strategies, developing data pipelines, and ensuring compliance with data governance policies. They collaborate with stakeholders to deliver effective data solutions and lead cloud-based implementations.
As a Data Analytics Senior Consultant at CNA, you will lead projects to create automated scorecards and scenario analysis tools, provide business insights based on data analysis, collaborate with underwriting leadership, and develop analytics solutions that enhance business strategies across commercial insurance products.
As a Senior Associate, you will oversee clinical data management for trials, ensuring the accuracy and integrity of data. Responsibilities include data preparation, creating data management plans, setting up data reviews, and collaborating with stakeholders to improve processes and learning from studies.
The Performance Analyst provides analytical support to investment teams by preparing quarterly and monthly reports, entering data from client statements, reconciling performance returns, and communicating results to clients. The role involves problem-solving discrepancies and analyzing client portfolios across various asset classes, while also participating in team projects related to data analysis and client deliverables.
As a Manager of Analytics, you will provide data-driven insights and measurement strategies for healthcare clients, develop measurement plans, perform deep analyses, design marketing dashboards, and enhance data collection across digital platforms, while also building client relationships and delivering presentations.
Top hybrid Companies in Philadelphia, PA Hiring Data + Analytics Roles
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