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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Leverage artificial intelligence and machine learning technologies to enhance data analysis processes, improving the predictability and accuracy of our insights and driving innovative solutions to complex challenges Qualifications: 2+ years of experience as a product manager or similar role, preferably in the healthcare sector Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
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Preferred SkillsStrong, demonstrated knowledge in the following areas:-Geographic Information Systems (GIS): At least two years of satisfactory, full-time experience using Geographical Information Systems (GIS) in at least one of the following capacities: maintenance of geospatial data, spatial analysis, map production, and/or supporting an organization’s operations one year of which must have been spent supervising GIS resources and managing or overseeing GIS tasks and/or GIS projects.
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Experience implementing scalable systems (Google Cloud preferred) Experience with Airflow or similar workflow management tools Experience using data visualization tools and techniques to deliver and present business insights and value Proficient in Python and SQL Desired Characteristics: Experience implementing and owning end-to-end data projects with a diverse group of stakeholders Knowledge of enterprise-level digital analytics platforms (e.g. Tableau, Looker, etc.
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A Master's degree or equivalent experience in Computer Science, Data Science, Information Systems, Engineering, or another computational or business field. You will set the team's technical strategy and deliver high quality data, tools and systems using good programming, project management and leadership skills.
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RequirementsBachelor’s degree in Computer Science, Information Technology, Data Science, or a related field5+ years of experience in data analysis, data engineering, or a related fieldProficiency with data analysis tools and languages such as SQL, Python, R, etc.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Computer and Information Science, Management Information Systems, Information Technology, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics.
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Work collaboratively with Office of Performance Management to address inquiries regarding information sharing and to trouble shoot concerns that arise with data systems glitches. Manages the site’s Youth Services Information System (CSIS) and responsible for ensuring data entry for all program components SONYC afterschool, Adolescent Literacy, Teens In Action, Adult Literacy, SU Campus summer camp, parent and community engagement programs.
$45,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management.
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The mission of Cloud Security Architecture is to ensure the confidentiality, integrity, and availability of the Firm’s data, infrastructure, and systems in off-premises environments. The Data Security team sets the vision and strategy for protection of sensitive information.
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Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering. Evolve existing and developing new data governance-related policies, processes, standards, metrics, and controls.
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A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
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Required Skills:Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science, or a related quantitative field, or equivalent work experience.
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As a Data Engineer on the Amazon Video Shopping team, you will lead the design and implementation of systems capable of processing, storing and querying large datasets. You will partner with product managers and engineers to help build and support data needs of partner teams, reporting solutions, machine learning systems and analytics.
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information systems jobs Title: data in Queens, NY
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