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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, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP. 3+ years of relevant experience with a bachelor’s degree.
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Must be able to conduct information searches, comprehensive literature reviews, data collection, data analysis, scientific, medical, and technical-writing, copy-editing, graphic preparation, report layout design, proofreading, and production.
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Required Skills REQUIRED QUALIFICATIONS: Proven working experience as a data analyst or business data analyst Knowledge of statistics and experience using statistical packages for analyzing datasets BA/BS in economics, mathematics, or related fields with strong quantitative background; an advanced working knowledge of MS Excel; experience with econometric or statistical modeling; and demonstrated strong writing skills.
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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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WHAT YOU’LL NEED TO SUCCEED:Education: Bachelors in data science, statistics, mathematics, or computer science, and minimum 5 years of data analysis experience. HOW A DATA ANALYST WILL MAKE AN IMPACTDevelop data collection methodologies and systems to gather accurate and reliable metrics.
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Experience: Minimum of eight (8) years of experience with Bachelor's Degree in Engineering, Physics, Chemistry, Computer Science, Operations Research, Mathematics, Statistics, Economics, or data science.
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Possess a Bachelors Degree or higher in Operations Research, Mathematics, Statistics, Data Science, Computer Science, or a similar field with quantitative workforce analytics experience. Carrying out both primary and secondary (e.g., HRIS) data collection and analysis activities, interpretation of data and analytic results, development and vetting of recommendations.
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10 years of experience employing data science techniques and processes to clean, massage and organize large, complex data sets; performing descriptive statistics and analysis, including machine learning to build predictive models; parsing impactful factors/levels derived from complex data sets and identifying statistically significant relationships between factors and outcomes of testing trials.
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Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana.
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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, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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We are looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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Documents data collection, A/B testing, reporting, dashboard, data integration, and data privacy business requirements in multiple formats (PPT, Excel, Confluence) for different audiences (business stakeholder, technical implementation team, and data analysts) to ensure we are getting the most value out of our data.
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Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality. Bachelor’s degree in Economics, Finance, Statistics, or a related field.
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Experience should include data collection and normalization; parametric and analogy estimating; model and database development; and, methods development to include multivariate regression analysis, risk analysis, and cost improvement curves.
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collection statistics jobs in Fairfax, VA
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