Top Data & Analytics Jobs
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
As a Data Engineer III at Cars Commerce, you will build scalable data platforms and tools, design and maintain complex data applications, develop and support production data pipelines, and collaborate closely with various engineering and cross-functional teams while mentoring junior team members.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
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The Database Admin III role involves managing RDBMS databases, ensuring their integrity, reliability, and performance through quality control, tuning, and upgrades. Responsibilities include database setup, maintenance, troubleshooting, backup and recovery, and technical support for SQL optimization.
The Sr. Manager, Plan Deliver Data Specialist is responsible for data architecture requirements in SAP S/4HANA, managing the Common Information Model, leading data migration processes, and ensuring implementation of data governance policies. This individual collaborates with various teams to optimize data flows and maintain data quality throughout the migration process.
The IT Operations Analyst supports IT systems for business units, providing technical support to clients and resolving complex issues. Responsibilities include troubleshooting, optimizing operating systems, managing service agreements, and maintaining asset management systems. The role also involves communication with users and ensuring compliance with IT policies and procedures.
As a Data Steward at Fidelity, you will manage business data definitions, ensure high data quality, support data modernization, and collaborate with various teams to drive data inventory and compliance with privacy laws.
The Principal Scientist, Biologics manages and leads late-phase biologics process development and manufacturing across multiple technology areas. Responsibilities include project management, compliance, collaboration with external CDMOs, and regulatory documentation. This role ensures the development of safe and compliant processes and products for clinical and commercial use in oncology and rare diseases.
The Senior Data Engineer will develop and manage data pipelines, analyze financial data to identify trends, enhance data quality, collaborate with cross-functional teams, and support operational efficiency through data-driven insights and reporting.
The Artificial Intelligence Data Engineer will develop and maintain data infrastructure for AI initiatives, implement data ingestion and transformation processes, optimize storage solutions, ensure scalability and reliability of data pipelines, and collaborate with AI teams to meet data needs.
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