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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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The DGPP is responsible for preparing and leading the implementation of a strategic direction for data management within WSP. The Program functions at an executive level within WSP, reporting to the Chief Information Officer (CIO.
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Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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The Data QC senior manager will provide quality support and guidance related to laboratory activities and will play an integral role in the identification and management of quality issues with support from the compliance group.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network.
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Skills SummaryBuilding Management System (BMS), Centrifugal Compressor, Centrifugal Pumps, Chilled Water Systems, Cooling Towers, Data Center Services, Electrical Distribution Systems, Emergency Diesel Generators, Fuel Systems, Heat Exchangers, Humidification Systems, HVAC Equipment, Industrial Water Treatment, Systems Troubleshooting, Uninterruptible Power Supply, Variable Frequency Drives (VFD), Water Filters, Water HeatersWhat will make you a good fit for the role.
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Circle is looking for a Compliance Data & Reporting Manager with experience in Compliance systems and data to help us build out reporting and insights functions to enable data driven compliance.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Work with senior data scientists to design, architect, and build AI/ML model and model systems. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This position will report to the Senior Director of Data and Analytics in the Walmart Health & Wellness Digital Transformation Office. Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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We are looking for a Lead Data Scientist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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data job Title: senior manager Company: Takeda Pharmaceutical
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