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We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. You will be responsible for providing data integration and analysis services working principally with Microsoft SQL Server, though may work across a number of technologies and in several other disciplines including data modeling and data science, working with data lake-based solutions.
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Stay informed about industry trends, best practices, and emerging technologies in HR analytics and data visualization, and recommend innovative approaches to enhance HR data analytics capabilities.
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Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
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Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
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Experience with data modeling, statistical analysis, and predictive modeling techniques. As an Analytics Engineer, you will play a crucial role in enhancing our product decision-making process, focusing on optimizing our top-of-the-funnel activities and product-led growth initiatives through data-driven insights.
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Other Qualifications: Master’s degree in computer science, information systems, data science, analytics, statistics, economics, public health, biostatistics, epidemiology, social science, mathematics, or relevant field preferred.
$65,260 - $94,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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Big Data Infrastructure, Cyber Collection & Processing Systems, CyberSecurity, Software Engineering, Security Operations Center Support, Incident Response & Threat Mitigation, Exploitation & Forensics, Data Center & Cloud Services, and Predictive Analytics and Tools.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written visual and verbal narrative products, enabling more informed analytic decisions.
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OverviewJob SummaryTuvli, an Akima company, is hiring for a Data Analyst IV to support our DoS client located in Washington, DC.The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Provide assistance with Cryptocurrency analysis, Blockchain analytics, Open Internet, including social media, Deep and Dark Web intelligence gathering and analysis, data analytics, and electronic evidence analysis related to cybercrime investigations.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements. Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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data science predictive analytics jobs Title: computer scientist in Washington, Needham, Massachusetts
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