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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Understanding of data modeling/ visualization, database design principles, and data governance practices. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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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. Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
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Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. As a Data Engineer , you will u se cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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Responsibilities: 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.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
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Experience with machine learning frameworks and libraries (e.g., scikit-kearn, TensorFlow, PyTorch) and data visualization tools such as Tableau, Power BI, matplotlib, ggplot, Periscope, Business Objects, D3, SAS Visual Analytics or similar platforms.
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Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Statistical analysis (e.g., SAS, R), database development, data visualization software. The Exposure Assessment Specialist provides substantive expertise and support for identifying global sources of environmental data (e.g., air and water quality, indoor contaminants, infectious diseases, food safety, solid waste management) and analyzing data to characterize human exposures to environmental hazards spatially and temporally.
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Experience using DevSecOps methods (Continuous Integration, Continuous Delivery) and tools (Gitlab, Conan, Jenkins, Docker). With potential travel to partner organizations or trainer sites across strategic locations like Pearl Harbor, San Diego, Norfolk, and more, this role offers a dynamic blend of challenges and experiences.
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Join our pioneering team at Leidos' High Fidelity Simulation Business Area, where we lead the charge in creating cutting-edge System of Systems solutions for the US Navy's simulation, training, and analysis needs.
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Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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data visualization modeling jobs in Washington, DC
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