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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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JOB DESCRIPTIONJob Duties:Fox Cable Network Services, LLC seeks a Database Architect (Senior Data Engineer), as a key member of the Data Services Management team, will play an essential role in envisioning, implementing, and evangelizing new features, pipelines, and platforms that not only deliver data but insight.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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HPBIND Key Words: Campaign Strategy Lead Generation Customer Acquisition ROI Optimization Cross-Channel Marketing Performance Metrics Vendor Management Influencer Marketing Digital Marketing Content Optimization A/B Testing Team Leadership Budget Management Sales Funnel Management Audience Segmentation Brand Alignment Market Research Customer Engagement Creative Collaboration Marketing Automation Data-Driven Insights KPI Tracking Cross-Team Collaboration Marketing Analytics Powered by JazzHR.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Skills: Expertise in pharmacovigilance processes, risk management, and regulatory requirements.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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Desired Background PhD in Computer Science or related field 4-8 years of professional experience with relevant experience building and designing distributed data systems Knowledge of statistics, data science, AI/machine learning, big data management Strong proficiency in Python and an additional language (e.g., C.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. How you will contribute:Be a leader of the RDQ data program that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly allow inspiring technologies for insight derivation.
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big data science management strategy jobs Title: machine learning engineer
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