Top Senior Level Data & Analytics Jobs
As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.
As a Staff Scientist - AMO Theory at IonQ, you will develop and analyze detailed models of ion-light interactions in QPUs, define technical requirements, and contribute to the improvement of quantum computing platforms. A PhD in Quantum Physics or related field, proficiency in Python, and experience in modeling complex quantum systems are required.
The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
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The Packaging and Integration Scientist will support the development of advanced semiconductor integration processes for high-speed mixed-signal electronics by engaging in research, characterizing manufacturing processes, and collaborating with a multi-disciplinary team to address technical challenges.
As a Data Scientist Lead at PNC, you will oversee a team that focuses on AI and Intelligent Automation. Your role includes directing analytical projects, enhancing machine learning capabilities, and aligning data science strategies with business objectives. You will work collaboratively to solve complex problems and drive innovation with advanced data techniques and generative AI.
As a Lead Business Data Analyst, you will develop a vision and roadmap for data-driven practices, facilitate collaboration across the enterprise, analyze data processes for improvement, conduct in-depth analyses, provide actionable insights, and promote a data-driven culture. You will also guide senior leadership in leveraging data for decision-making.
Lead and oversee the Business Intelligence Center of Excellence, implementing a cutting-edge Data Marketplace and driving metadata management and Data Mesh architecture. Promote data literacy, ensure robust data governance, and enhance organizational capabilities in process mining, while collaborating with IT and business units to align data strategies with organizational goals.
The HRIS Analyst at PrizePicks will enhance HR technologies by overseeing HRIS operations, conducting data analysis, and improving processes. Responsibilities include managing the HRIS, generating reports, implementing system upgrades, and ensuring compliance with regulations. Strong analytical and communication skills are necessary.
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
The People Analytics Manager will lead the development of HR and Recruiting dashboards, translate data insights into visual tools, manage a small team, ensure data integrity, and collaborate with internal teams to enhance dashboard capabilities.
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