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Input data accurately, timely exploit FMV collected by sensors on ISR platforms, apply HUMINT and SIGINT information to FMV imagery analysis, and use an electronic light table to exploit NTM imagery in softcopy.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc. Advanced experience in writing codes in Java/Python, either on general programming ability or data processing ability with several data formats (CSV/TSV/JSON/XML.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Bachelors in mathematics, statistics, data science, or social science.
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Lead the service desk efforts to document core Standard Operating Procedures (SOPs), user Frequently Asked Questions (FAQs), self-help and troubleshooting guides as a part of an integrated ticketing system, document configuration of devices, update and maintain TSP and ATC documents, provide documented responses to programmatic data calls and metrics, and input to monthly and weekly activity reports and other deliverables, while adhering to program quality standards.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Our Cybersecurity and Technology Risk Advisory services include Cyber strategy, IT governance, IT risk and cybersecurity assessment, cloud security, privacy and data protection, systems pre- and post-implementation controls evaluation and advisory, systems development life cycle controls assessment, data governance & analytics, resilience, and third-party risk management.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) Do you love building and pioneering in the technology space.
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Collaborate with cross-functional teams to foster a culture of security awareness, ensuring that data security and privacy principles are embedded in all data operations. Experience with data privacy, classification, and access tools such as Immuta, Azure IAM, Azure data catalog, or Gigya.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Masters degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As Senior 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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Design and develop integration capabilities between Informatica MDM and various data sources/systems including on-premise and AWS cloud environments using IICS, Power Center, IDQ, Web services and other integration mechanisms and patterns Data modeling & Data Mappings (Landing, staging and Base Objects), Data validation, Match and Merge rules, SIF Framework and MDM User Exits.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
data input jobs Company: A B Farms in Washington, DC
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