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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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Qualifications: Bachelor's degree in cybersecurity, computer science, computer information systems, or a related field. Experience working in the healthcare industry, with a strong understanding of medical records, health data security, and other relevant domain-specific regulations.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Work with the data science team to build the visualization applications using ArcGIS and PowerBI platforms and also build internal applications using the PowerApps/Powerautomate platform.
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Desired 5 Years Experience using R or SAS Desired 3 Years Experience with Health Level 7 (HL7) messaging standards for electronic lab and electronic case reporting Desired 2 Years Experience with reportable disease/health-related information systems & management Desired 2 Years Bachelors degree in IT, Computer Science, and/or equivalent experience and training Desired Ability to analyze and develop efficient solutions to data problems in a logical and systematic manner Desired.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. 6 years of customer data analysis experience / advanced analytics capabilities in Voice of Customer research (CX, UX, EX.
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BA or BS degree in computer science, computer engineering, electrical engineering with a focus on micro/digital electronics, or computer forensics and 17 years of experience with S&TI research analysis and engineering or MA or MS degree in EE, ME, CS, or Mathematics.
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A minimum experience of 8 years working as in data analytics or data science, demonstrating a sound knowledge of analytics, data modeling, business intelligence, database management, SQL querying, data warehousing, and online analytical processing (OLAP.
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Advanced degree or significant work-related experience in information systems, computer science, data science, computational finance, mathematics, statistics, or other quantitative field.
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0-3 years of relevant experience in technical areas (e.g. data science, data analytics, quantitative finance). The Quantitative Markets team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building data-driven models to analyze and predict the performance of Affirm’s consumer loans.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Building digital twins of the roadway infrastructure to bring the data, computing, visualization together. experience using GIS for creating dynamic mapping applications and processing real-time location data.
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Maintain the configuration and administer all tooling, including the IT Cost Model App and any related ERP Financial modules supporting the financial management and vendor management processes (this includes ETL of data from systems of record such as Workday, Planview, ServiceNow, etc.
$85,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years experience using GIS for creating dynamic mapping applications and processing real-time location data. Working smarter and proactively though the use of data analytics and automation.
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data science jobs Title: analyst in Richmond, ME, Alabama
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