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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.
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Recognized in the Top 20 Engineering Firms and Top 3 Science and Technology Firms since 2000 by Building Design + Construction Magazine , AEI is dedicated to enhancing public health and improving patient outcomes, advancing revolutionary biomedical research, and enabling the next generation of scientific discovery and technological innovation through remarkable design and award-winning projects.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Oversee the deployment, management, and maintenance of security solutions including endpoint Detection and Response (EDR), Network Detection and Response (NDR), Email Security Systems, Data Loss Prevention (DLP), Vulnerability Management Systems, Security Information and Event Management (SIEM), and Single Sign-on/Multi-Factor Authentication (SSO/MFA.
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While performing job expectations, maintain accurate and up-to-date files and data required by the Illinois Department of Human Services (IDHS), an agency's programmatic policies, procedures, professional standards, and external conditions of all relevant regulatory licensing and/or accreditation bodies.
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If your background is in Economics, Business, Finance, Financial Economics, Accounting, Statistics, Mathematics, Computer Science, or any other major focused on quantitative research , learn more about CRA.
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We provide the opportunity to serve the greater good of humanity through work on cutting-edge, state-of-the-art projects like Promega Corporation's Kornberg Center, The University of Arizona's Biomedical Sciences Partnership Building, AbbVie's West Coast Oncology Hub, and BioMed Realty's Gateway of Pacific.
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The Director leads a cross-disciplinary team of social scientists and ecologists, data and spatial analysts, and engagement and environmental specialists to set and implement priorities, achieve science-driven objectives, as well as represent the Center to partners, funders, and donors.
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Experience with High Definition Scanning (HDS) Terrestrial LiDAR, data extraction to 3D-CAD environments and Graphical Information Systems (GIS) software are also highly desirable. The selected candidate will work under the direct supervision of the Vice President Transportation and focus on highway, bridge, railway, airport, buildings and water resources related projects.
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Some experience with cloud-based and on-prem data solutions (Apache Hadoop, Datastore, Firestore, Cloudera Data Platform, Big Query, Azure SQL, Cosmos DB, Red Shift, Apache Spark, ElastiCache, CloudSQL, Data Bricks, Snowflake, Apache Arrow, Apache Airflow, Flink.
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Experience with data analysis tools (e.g., Tableau, QlikView, ACL, Business Objects) Bachelors Degree: Information Technology (Computer Science, Information Systems, Electrical and Computer Engineering.
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Bachelor’s or Master’s degree in a relevant field such as Human-Computer Interaction, Psychology, Data Science, Statistics, Computer Science, or related disciplines. The UX Researcher employs various methods, such as data analysis, A/B testing, and predictive analytics, to gather and interpret user data, identify trends, and provide actionable recommendations.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
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big data science jobs Title: data engineer in Chicago, CT, Us
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