Top Data Science Jobs
The Senior Data Scientist will lead predictive modeling projects to solve complex business problems by processing large data streams in a distributed environment. Responsibilities include developing proprietary algorithms, providing actionable insights, and mentoring other Data Scientists while collaborating with business partners.
The Senior Programmer/Analyst will capture user requirements for systems development, create functional specifications, migrate legacy applications, develop prototypes, and document programming tasks. They will also work with cross-functional teams to deliver solutions and enforce compliance processes.
The Principal AI Data Scientist will lead AI strategy for clinical trial optimization, leveraging machine learning models and diverse medical data sets. Responsibilities include ideating ML applications, developing prototypes, optimizing data pipelines, and mentoring junior staff. The role requires strong research, leadership, and communication skills, alongside hands-on model design and implementation.
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As a Weather Data Scientist at CCI, you will enhance weather forecasting models, conduct research, and manage the ingestion and analysis of vast weather data sets. Your role involves applying machine learning and time series analysis to improve model accuracy and provide valuable insights into weather patterns.
The Principal Development Scientist will be part of the Advanced Sensors Engineering Team, applying expertise in Atomic Layer Deposition to improve processes, troubleshoot fabrication issues, and develop solutions. Responsibilities include designing experiments, producing prototypes, and managing technical issues during development and production transitions.
The Data Science Manager - Procurement leads advanced analytics initiatives to improve procurement efficiency and decision-making. Responsibilities include developing analytics programs, aligning risk management strategies with business objectives, integrating AI technologies, and fostering a culture of innovation and collaboration within the team.
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The Denials Revenue Cycle Analyst provides reporting, process improvement, and analytical support within the revenue cycle at BMC and BUMG. Responsibilities include implementing reporting initiatives, analyzing data, managing projects, and participating in organizational improvement initiatives. Strong analytic, project management, and leadership skills are required.
The Manager, Data Scientist will lead analytics projects, develop machine learning models, and collaborate across departments to drive insights and recommendations. Key responsibilities include formulating data science problems, statistical modeling, and ensuring data quality and governance. This role aims to establish a robust data science foundation within the organization.
The Associate Scientist is responsible for executing laboratory techniques used for biologics, presenting findings, authoring analytical methods and reports, and contributing to regulatory filings. They will act as the analytical method owner and support method validation activities.
AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.
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