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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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Data Analysis and Reporting: Conduct data mining and analysis to inform quality improvements. Familiarity with data analysis tools and techniques for quality assessment and improvement.
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In the Data/CQI Administrative Specialist role you will apply your knowledge and experience to support evaluation and continuous quality improvement (CQI) on a national technical assistance project in a federal consulting environment.
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Ensures that data center problems are identified and repaired quickly, that contractors deliver quality services, and that internal customer demands are met. Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Senior Data Scientist.
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Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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Knowledge of geospatial data models and standards , including OGC Geopackage, WMS, WFS, and NSG, enabling seamless data integration across various platforms. Strong understanding of big data analytics , machine learning , and data manipulation techniques in geospatial contexts, providing insights into how emerging technologies can enhance GEOINT capabilities.
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2+ years of experience working with data analytics tools, such as Databricks, or Python data analysis libraries. Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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Analyze information, requirements, data, work quality, work methods, processes, service specific practices, standards and metrics/statistics. Experience using data and analytic tools such as: PowerBI, Databricks, SQL, Python, R, or Tableau.
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. In our consultative approach, we are platform agnostic and are committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, MLOps, data engineering and streamlining IT infrastructure processes.
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Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management. Design data platform solutions using Azure data services such as Data Factory, Azure Event Hub, Azure Synapse Analytics, and Azure Databricks.
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data quality jobs Company: Accenture in Reston, VA
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