Top Senior Level Data Science Jobs
The Senior Scientist in Process Development leads the development of manufacturing processes for autologous T-cell therapies, ensuring application of best practices and technologies. Responsibilities include overseeing technology transfer, collaborating on clinical activities, performing data analysis, designing scalable manufacturing processes, mentoring staff, and reporting progress to management.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
Develop and implement forecasting models, analyze large datasets, collaborate with product and engineering teams to deliver data-driven insights
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As a Senior Data Scientist, you'll drive the development of innovative data solutions, analyze vast datasets for insights, and collaborate with cross-functional teams. You'll design scalable algorithms, optimize machine learning models, and communicate findings effectively to various stakeholders.
The Data Scientist & Researcher will develop bioinformatics algorithms for genetic analysis software, maintain applications for data processing, and analyze bioinformatics data. Responsibilities include implementing alignment analysis for forensic genetics, retrieving information from various databases, and improving detection methods for genetic data accuracy.
The Senior Data Scientist will support government contracts by leveraging knowledge of intelligence agency structures and data science to analyze, develop algorithms, and collaborate with a multidisciplinary team. The role requires extensive experience in data science and analytics, focusing on innovative problem-solving and software development.
This role involves providing Oracle database administration in a production setting, including tasks such as installing and configuring MySQL servers, migrating databases, monitoring server performance, and performing system optimizations. It requires extensive experience in database design, engineering solutions, and troubleshooting.
The Senior Data Scientist will develop, design, and maintain AI-based systems, focusing on Natural Language Processing and Machine Learning models. They will participate in code reviews and collaborate with various client delivery teams to enhance user experiences in a GenAI program for the IRS.
The Scientist will develop and validate epigenetics-based assays and oversee a team testing antibodies in CUT&RUN, CUT&Tag, and ChIP assays. Responsible for maintaining a robust testing pipeline, collaborating with cross-functional teams, and ensuring high-quality data delivery.
The Senior Product Data Scientist at GEICO is responsible for leveraging quantitative analysis and technical expertise to provide insights that guide product and engineering teams. This role involves defining opportunities for product improvement through data-driven strategies, developing processes, and collaborating across functions to influence product strategy.
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