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8+ years experience in high performance research computing, data analytics, and cyberinfrastructure. PSC advances science across a wide spectrum of fields including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Preference given to candidates with experience in designing quantitative, qualitative, and mixed methods research, data analytics, and reports and presentations.
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Candidates must have at least 5 years' experience in business intelligence, data analysis, or organizational development along with a deep understanding of technical and business aspects within a complex data landscape.
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ResponsibilitiesLead a multi-disciplinary team (of both direct reports and matrixed roles) to sustaining and evolving its charter Build partnerships across the enterprise globally and domestically, including product management, Data Science, marketing, sales, operations, finance, legal, content development and customer experience.
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Interface with perception and prediction components upstream and trajectory optimization and tracking & control components downstreamRefine and improve the data-driven model according to the performance of AV in real-world complex environmentDeploy solutions directly to an autonomous vehicle and analyze their impact Provide a vision for the team and our system guide and mentor junior team members to develop a culture of product-focused engineering, research, and development.
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Knowledge and experience related to Ethnic Studies including research, teaching, and/or study away/study abroad programs; English fluency; competence level in Latin American or Asian languages is a plus; Experience working with undergraduate education and/or internship programs; superb writing and communication skills are vital, as well as attention to detail, multi-tasking capabilities, and the ability to work in a fast-paced work environment.
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Experience in Bigdata data pipeline testing with Hadoop/Spark framework in AWS cloud infrastructure Knowledge of applying the Spark DataFrame API concepts using PySpark to complete data manipulation task's Very good understanding of business intelligence concepts, architecture & building blocks in areas ETL processing, Datawarehouse, dashboards and analytics.
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5-8 years of practical experience in IT/ERP consulting, professional software development, product and program implementation. How can businesses use data and analytics to create highly personalized outreach delivered through a seamless omnichannel experience.
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Asset Allocation, Auditing Operations, Business Case Analyses, Credit Risk Analysis, Data Analytics, Data Visualization, Decision Making, Investments, Market Research. Analyzes and understands financial instruments for the bank's investment portfolio, including research and collection of relevant information based on independent judgment.
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Experience in protocol/report development and familiarity with various tools for data collection required. Demonstrated problem solving abilities in overseeing clinical evidence generation and clinical strategy developmentAdvanced degree (MSc, MPH, PhD) in epidemiology, health services research, health outcomes research, biostatistics, data science, or related field.
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The office oversees the university-wide strategic initiatives and operational functions of Carnegie Mellon’s $600+ million research enterprise and associated top-ranked technology transfer and startup activities, which span the university’s academic colleges, research institutes and centers, and the Software Engineering Institute, a federally funded research and development center.
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3 - 5 years of experience in a Financial Institution or Consulting Organization may be relaxed if the candidate has extensive subject matter expertise in the areas of Operational Risk, Market Risk, Machine Learning, Artificial Intelligence, Stress Testing, or 3rd Party Vendor Models preferred.
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Writing comprehensive turn-key technical documentation, How-to guides, and manuals with examples and sample data sets to support software products Preferred Qualifications include a combination of the following: MS in computer science, software engineering, robotics engineering, or related field with a minimum of 16 years’ experience in software development in support of robotic autonomy pipelines.
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Moreover, the team is also actively investing in nascent technologies such as Blockchain, AR/VR, NLG, AI/ML and Big Data Analytics. Our teams are already leveraging Artificial Intelligence, analytics, and cutting-edge capabilities to transform how we serve clients and operate our business.
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artificial intelligence research and development big data user experience jobs Title: engineer in Pittsburgh, PA
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