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Required Qualifications Active TS/SCI Clearance #qinetiqclearedjobProficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.3+ years of relevant experiencewith a bachelor’s degree.
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The role fits into an existing team of passionate developers and earth science modelers with backgrounds in hydrology, fluid dynamics, meteorology, computer science, geographic information systems (GIS), environmental science, civil engineering, oceanography, and statistics.
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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.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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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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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Analyze climate change related data and develop strategies to address gaps and provide recommendations to leadership.
$318,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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This role requires proficiency in specific geospatial and statistical software tools (QT Modeler, ArcGIS, QGIS, Matlab), programming in Python, and expertise in fields crucial to geospatial science and analytics (Geodesy, GIS, Photogrammetry, Precision metrics, LiDAR, Understanding of Statistics.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology. Master’s degree or Ph. D. in Statistics, Economics, Public Health, Public Policy, or related field.
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Data science, machine learning, optimization models, 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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Apply expertise in geodesy, GIS, photogrammetry, and precision metrics to enhance the accuracy and reliability of geospatial data analysis. Utilize LiDAR data and other remote sensing technologies to support various geospatial projects.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. The Google Cloud Security Data Science Research team develops innovative, data-driven solutions to today’s most challenging cybersecurity problems.
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Computer Programming (e.g., scripting, data parsing/ETL, artificial intelligence, machine learning, natural language processing, software versioning, distributed computing). + Data Visualization (e.g., dashboard creation, network analysis, GIS/geospatial analysis, telemetry analysis.
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We fuse data strategy with data science and design driven innovation to create customer technologies for commercial and federal customers. What You Need for This Position Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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data statistics jobs in Fairfax, VA
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