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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Knowledge of data science (e.g. Machine learning), analytics platform (e.g. Alteryx) and data visualization tool (e.g. Tableau) will be advantageous. With core valuation processes largely delivered through dedicated technology and quantitative research resources, the team focusses on insightful analysis leveraging multiple market data sources through advanced analytics platforms.
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The ideal candidate has at least 10 years of full-time experience in data structure management, analytics, and report generation via Power BI, as well as a Bachelor's Degree from an accredited college or university with a major in Computer Science, Information Systems, Construction,or related fields.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Preferred Qualifications: Background in fraud prevention Experience with Github / Splunk / Python Bachelor’s degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline.
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The Senior Planner will engage in data collection, processing and management, data interpretation and visualization, qualitative research and outreach, and information preparation across a mix of interactive and digital platforms.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Ability to structure, analyze, and contextualize vast, unstructured or incomplete data in context of business problems and to drive business impactExperience with data visualization tools (e.g., Power BI) and MS ExcelDemonstrated strength in SQL scripting and programming in Python and/or RCollaborates with business analysts, strategy managers, and business partners to understand needs, priorities, and opportunities and provides value add data-centric solutions.
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Through experiments, data analysis, visualization and modeling; Coordinating end-to-end project management with business and clinical stakeholders and cross-functional teams including marketing and data engineering to drive delivery and execution of campaigns; Machine Learning.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team charter includes supporting Data Science and Insight & Strategy partner organizations across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial business.
$248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Education & Experience Requirements:Bachelor’s degree in management information systems, computer science, data science, or information technology, or combination of education and relevant experience.
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C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
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REQUIREMENTS Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field Minimum of eight (8) years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or related field Prior team management experience Knowledge of statistical modeling and data science concepts Hands on experience with SQL, Python, and data visualization tools such as Tableau Financial services experience highly desirable.
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Collaborate with diverse teams and learn from experts in analytics, data science, and product management. Familiarity with data visualization tools like Tableau or Looker.
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4+ years of experience in data architecture, data management, data engineering, data science or data analytics. Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.
$197,863 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
data science visualization management jobs in New York, NY
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