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As a Senior Revenue NPI Analyst, you will support the evaluation and launch of new products, ensuring proper revenue recognition and system implementation. You'll collaborate across various business organizations, design functional specifications, and oversee system implementations, particularly within SAP ERP Finance tools like S/4HANA. Your role will require handling financial challenges that impact the organization globally.
The Data Scientist/Engineer at AnaVation will collaborate with intelligence and cybersecurity experts to enhance data analytics for National Security missions. Responsibilities include mining complex datasets, optimizing data pipelines, developing predictive models, and ensuring data compatibility for analytics purposes.
As a Principal Data Scientist at At-Bay, you will drive informed business decisions through advanced data modeling and analytics. You will create a data platform to enhance risk assessment frameworks, collaborate with cross-functional teams, and develop predictive models to analyze cyber incidents.
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The Scientist I position involves providing technical support in research labs, managing chemical inventories, ensuring safety equipment maintenance, and coordinating hazardous waste removal. Responsibilities also include mechanical system assembly, soldering, and documentation of testing procedures. Strong organizational and communication skills with a proficiency in Microsoft Office are essential, alongside extensive laboratory experience.
The Senior Data Scientist in Operational Efficiency at HUMAN is responsible for building automation and capabilities to detect and disrupt novel bot attacks using machine learning techniques. They will support experiments to demonstrate the value of automation solutions and contribute to the team's responsibilities in reviewing work, monitoring anomalies, and improving toolsets.
As a Data Scientist II at Comcast, you'll work on deploying and improving data analytics products for Syndication Insights. Your focus will be on ensuring the accuracy and timeliness of billing data, collaborating with stakeholders and partners, and using advanced statistical methods and machine learning techniques to analyze data and provide actionable insights.
The Sr. Principal Data Scientist will develop data mining architectures and analysis methodologies to reveal trends from large data sets for business insights or competitive advantage. The role requires strong statistical skills and proficiency in data visualization.
The Senior Revenue Operations Analyst will analyze data to shape and assign sales territories, ensure data hygiene, and collaborate with various teams to improve territory management processes. Responsibilities include ownership of territory design, documenting changes, and troubleshooting data issues related to lead distribution.
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 Advanced Cyber Analyst will support the Cybersecurity Operations Center by analyzing cybersecurity data to identify threats and provide actionable recommendations to leadership through presentations and visualizations. The role requires active TS/SCI clearance, and familiarity with SNORT and Elastic Stack is essential.
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