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Masters degree and 3 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist OR. High school diploma / GED and 12 years of Machine Learning Engineer, Data Engineer, Software Engineer, or Data Scientist.
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U.S. Data Security ("USDS") is a subsidary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Search tools: Solr, Lucene, Elasticsearch. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.
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3+ years of development experience with cloud services (e.g. AWS / Azure) utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, Blob, Cosmos, Data Factory, SQL Data warehouse, ARM Templates, Event Hubs.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) Demonstrated experience developing and applying NLP techniques (e.g. LLM, transformers, embeddings, topic models) to relevant use cases (NER, Q&A, document summarization/classification, text generation, sentiment analysis, semantic search.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This project provides software development and data analysis, as directed, to Air Force Directorate of Weather and Air Force Life Cycle Management Center’s (AFLCMC) effort to migrate data, software, and operations to the Air Force Weather (AFW) Virtual Private Cloud (VPC.
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Skills: Oracle Application Express (APEX), APEX Plugins, HTML, Visual Basic, Java, JSP, Java Script, Java Servlet, PL/SQL, CVS, Eclipse, Apache, WebLogic, IIS, Oracle, SQL Server, OBIEE/Oracle Analytics, Oracle Data Visualization, D3, MS Access, SQL, Agile Software Development, Software Development Life Cycle, SAP Crystal Reports (2016) or greater, Identity Management, WordML, Word, Excel, PowerPoint, OLE automation, LDAP, SFTF, FTP, JSON, XML, XSLT, Toad, ASPOSE For Java.
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Expertise and knowledge in the field of hydrographic surveying and ocean mapping, including, but not limited to, acquisition of hydrographic survey data using sonar equipment and hydrographic software, analyzing/processing raw data, and creating intermediate charting products.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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Collects, cleans, and maintains project-specific quantitative data, ensuring adherence to relevant federal data security standards; conducts quantitative analysis using analytic software (e.g., SPSS, Stata, SAS, R, Python) and interprets findings; prepares clear and concise written reports of findings suitable for client review.
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Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems. Working with state-of-the-art technology, as a Software Engineer, you’ll shape various naval training and simulation systems like CIAT – Combined Integrated Air and Missile Defense (IAMD) and Anti-Submarine Warfare (ASW) Trainer.
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If you are an experienced Full-stack Software Engineer with a passion for health tech and a desire to make a meaningful impact in healthcare, we invite you to apply and help us drive positive change in cardiovascular health and value-based care.
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Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. As a Data Scientist Senior Technical Specialist, some of your duties will include: Involvement in the analyses of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), natural language processing (NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
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Defines and leads the organizational and program data strategy and oversees data integration and all aspects of data governance to ensure efficient processes and consistent data flows and alignment with AARP enterprise standards and requirements.
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The position involves using National Instruments data acquisition devices and LabVIEW software, including graphical user interfaces, to develop and troubleshoot high-precision systems for test vessel tracking and position monitoring.
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