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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) As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Keywords : ("data steward" OR "Data custodian" OR "Data guardian" OR "data lead" OR "engineering data lead" OR "data champion" OR "data specialist" OR "data owner" OR "data engineering lead" OR "data analytics lead") AND "data model" AND "databricks" AND "python" AND "data integration" AND ("metadata management" OR "MDM") AND "airflow.
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We are looking for an HR Data Analyst on the People Analytics team at iHeartMedia! from on demand to broadcast radio, digital streaming radio and podcasting, which bring data, targeting and attribution to all forms of audio at an unparalleled scale.
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Security Strategy: We provide advisory leadership in Cybersecurity, Cloud Security, Data Privacy, and Enterprise Risk. We provide guidance on improving company posture in these areas and develop/review strategic roadmaps.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Support Design Pipelines: Inform the generation of data and designs in the upstream pipeline and assist the transition of ML models from development to deployment in the downstream pipeline. We are seeking a highly skilled and innovative Staff Data Scientist with a background in physics or a related field.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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Strong technical skills in data analysis and science tools including Python, R, and SQL; Experience in big data tools (GCP, BigQuery, Databricks) or geospatial (ArcGIS, QGIS) is a plus. Good knowledge-base in data science, marketing and consumer-centric social science (consumer decisions, market research, consumer experience, etc.
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Data Migration: Oversee the migration of data from legacy systems into Acumatica, including projects, contracts, budgets, schedules, and other construction-related data. Experience with other ERPs or construction management software like Procore, Sage 300, or Viewpoint.
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Experience with deep learning, data science, and NVIDIA GPUs. Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Areas of responsibility include enterprise reporting tools including, but not limited to Crystal Reports, Tableau Desktop and Server, Cognos Analytics, spatial analytics tools and enterprise data integration tools including, but not limited to Dell Boomi and IBM DataStage.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Python Developer ,Machine Learning Engineer, iOS and Android, data scientist, and solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Experience with data mining and data visualization tools, such as Alteryx, Tableau, etc. Utilizing advanced computational, statistical, and artificial intelligence tools, the Lead Data Scientist will oversee the automation of processes within the company and uncover valuable insights from vast amounts of data to help Welltower make smarter decisions.
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data job Company: Zones Llc in Dallas, DE, Canada
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