Top Senior Level Data Science Jobs
Data Scientists develop and maintain AI software for Hitachi High-Tech. Responsibilities include writing algorithms in machine learning, analyzing data, resolving software issues, designing user interfaces, and conducting tests. They collaborate with service engineers and participate in various software development activities.
The Cryptologic Computer Scientist will design, develop, and deliver solutions to complex cryptologic problems, utilizing advanced techniques and tools. Responsibilities include problem solving in areas like forensics, network protection, and attack attribution, focusing on research and prototyping in computer systems.
The Senior Data Specialist is responsible for designing and maintaining data pipelines, developing ETL processes, and writing complex SQL queries. The role requires strong skills in Python, SQL, and Unix scripting, along with experience in data warehousing and analytics. The specialist will also support QA processes and define standards for data extraction and transformation.
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The Data Scientist will support USINDOPACOM by analyzing data requirements, developing algorithms and models, and visualizing data insights. Responsibilities include collaborating with directorates, ensuring data quality, developing a data strategy, and communicating findings to stakeholders.
The Senior Data Scientist will develop and deploy cyber risk models, quantify financial impacts of cyber risk, automate modeling processes, and communicate findings to stakeholders while collaborating with various teams.
The Principal Researcher/Associate Scientist will develop bioanalytical methods for analyzing small molecules, conduct in vitro ADME studies, manage workflow logistics, communicate research results, and maintain laboratory documentation. Responsibilities include analyzing pharmacokinetic data and monitoring studies at CRO partners, as well as collaborating with internal and external teams.
The Senior Credit Analyst evaluates financial statements and credit reports to establish or recommend credit limits, manages accounts receivable collections, and collaborates with various teams to address customer-related issues. The role involves risk management, process improvement, and generating analytical reports using advanced tools like Power BI.
The Data Scientist is responsible for managing the collection, storage, and analysis of data. Key duties include organizing data points, interpreting business metrics, and crafting reports that predict future trends or proposals. Strong technical writing and analytical skills are essential, along with proficiency in data visualization and programming languages like R and Python.
The Associate Scientist will lead research projects, focusing on both qualitative and quantitative data collection and analysis. Responsibilities include overseeing research integrity, pursuing funding, publishing results, and mentoring junior staff while ensuring compliance with research protocols and objectives.
Lead and perform experiments to investigate neurologic disease mechanisms in rodent and stem cell models. Manage laboratory operations, supervise research staff, provide technical training and project support. Contribute to scientific publications and analyze data. Requires a Master's degree in related field and 5 years of research experience.
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