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In math, statistics, or data analysis; sociology, demography, or related social science; urban geography; computer science; transportation; planning; engineering; public policy or administration; GIS for multimodal transportation; or related field.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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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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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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3+ Years of hands-on work with ETL/Analytics tools (Alteryx, Azure Data Factory, Talend, Mulesoft) You should be a well-versed in the Digital Media / Web Analytics / AdTech space, knowing all about industry standard KPIs and how to Qualifications and Education Requirements BSc/BA in Computer Science, IT or relevant field Required Skills Specific owned DTC site experience is what we are looking for.
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Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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COMPETENCIES REQUIRED:General:LSC is accepting applications from current undergraduate or graduate students studying Sociology, Political Science, Data Science, Computer Science, Criminology, Law and Society, Urban Planning, Public Health, or related fields; current law students with familiarity or interest in quantitative analysis are also encouraged to apply.
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A deep understanding of data science and machine learning best practices, development processes, and leading platforms (Databricks, SAS, Anaconda, Alteryx, etc.) Experience in advanced analytics solutions (data science, machine learning, data modeling, etc.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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The Staff Scientist will work closely with science and program staff to implement standardized protocols to collect, analyze, and clean spatial data to monitor, measure and communicate our impact and to foster organizational learning in accordance with the Foundation’s vision and strategic plan.
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BASIC QUALIFICATIONS Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science. Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists.
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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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data science jobs Title: manager Company: Accenture Contractor Jobs in Arlington, VA
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