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For instance, we are now working extensively with Google Drive, Google Workspace, Looker, Google pub/sub, GCP IAM, OAuth, Cloud Vision, Mulesoft APIs, Vertex AI APIs (other than search), building data pipeline and others.
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As a data scientist you will be working closely with federal clients providing services to develop AI/ML models and weights to selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models.
$154,825 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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SAIC is in search of a Cloud Solutions Architect to join our esteemed Enterprise Solution Architect team. Experience working with IC data systems CLEARANCE: U.S. Citizen with Top Secret clearance with ability to obtain TS/SCI TRAVEL: Ability to travel as required up to 25% (typically to Chantilly, VA) SAIC accepts applications on an ongoing basis and there is no deadline.
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Looking for a stress-free job search? They are seeking a Data Scientist to join their team. Relevant qualifications: -8 years of professional experience -Experience with technologies such as Python and PyPi -Experience with SQL -Experience using analytic techniques and tools Desired: -Bachelor's Degree -Experience with MongoDB -Experience with ElasticSearch -Experience with Cloudera, Jenkins, and Terraform The work is located in Annapolis Junction and requires a TS/SCI + Full-Scope Polygraph.
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Propose ways to improve efficiency, data quality, and scalability of the ETL process, propose and/or implement new technology including AI/ML that can be used to automate data engineering tasks and processes.
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Notice to Agency and Search Firm Representatives: Catalent Pharma Solutions (Catalent) is not accepting unsolicited resumes from agencies and/or search firms for this job posting. + Ensure delivery of data integration artifacts and documentation to adequately support operational cutover, data quality improvements, and analytics-ready data science exploration.
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Plus get exclusive access to both Career Coaching and Resume Reviews at a deep discount, as well as expert skills tests, valuable job search tips and articles, webinars with job search advice, educational guides and courses, and more.
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Familiarity with big data technologies (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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DESIRED KNOWLEDGE/SKILLS Hands-on experience working with E lastic Search, Mongo DB, Docker, Kubernetes, Rabbit MQ, and NiFi. Design and develop a processing platform using various configuration management technologies.
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Leveraging advanced techniques and tools such as Vector Search, the Data Scientist will play a crucial role in improving search efficiency and relevance for our clients. Familiarity with other search technologies and frameworks such as Solr, Lucene, or Apache Kafka.
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Additionally, we help make it easier for healthcare providers at the Department of Defense and Veterans Affairs to search through electronic data to make faster, more informed patient care decisions.
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These teams are focused on enhancing operational insight by improving data discoverability through enterprise search and query, as well as enabling operational analysis and triage of data through visualization, enrichment, and analytics.
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The Enterprise Business Intelligence Lead will be responsible for leading and overseeing the evolution and maturity of the business intelligence lifecycle, from data collection and transformation to analysis and visualization.
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Data Engineering : Work with backend databases and search systems, including Elasticsearch, JanusGraph, DataStax Graph, PostgreSQL, MySQL/MariaDB, and SQLite, to ensure efficient data storage and retrieval.
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