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Uses statistical tools such as mathematics, statistics, performance measurement, and will assist the team or Senior Data Scientist with to advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.
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Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
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Evaluate the reliability, stability, and robustness of models using both quantitative (statistical) and qualitative techniques, such as sensitivity analysis, back-testing and benchmarking model performance using programming languages, such as SAS, R, and Python, and VBA. Provide insight regarding model performance and soundness of results.
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Fundamental knowledge of machine learning, data mining, statistical predictive modeling programming, simulation, and advanced mathematics. Experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Proficiency with statistical analysis programs, such as Stata, Python, R, SAS, ArcGIS/ArcPy; Bachelor’s or Master’s degree candidates with an academic focus on quantitative research (Economics, Finance, Financial Economics, Mathematics, Computer Science, Accounting, Engineering, Statistics, or related quantitative discipline.
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Proficiency with Word, Excel, and advanced experience with at least one statistical package required (e.g., Stata, R, Python, SAS, SPSS). Plans, manages, and executes the day-to-day operations of the Prosperity Now Scorecard’s state-level and local-area data products, including data warehousing/database management, quantitative analysis (estimation of statistical models), quality control and automation, UX testing, data visualization, and report and brief writing using the Scorecard data.
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Bachelor’s Degree or higher in Civil Engineering, Transportation Engineering, Urban Planning, Economics, Finance, Mathematics, Data Science, or a related field. Experience manipulating data using statistical software (e.g., R, Stata, SPSS, etc.
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Devise modeling and measuring techniques; utilize mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.
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Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field. Develop and apply operations research / statistical / mathematical / artificial intelligence / machine learning methodologies and techniques to analyze the effects of export controls.
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MS degree or higher degree in statistics, mathematics or related quantitative field with at least 3 years of industry related experience for Sr. statistical analyst and 5 years of industry related experience for Manager, statistical analyst.
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Technical Requirements : SAS HLM MS-SQL Server SPSS AM S-Plus SUDAAN WesVar AIRLighthouse Stata Microsoft Office (with advanced MS Excel capabilities) Qualifications: Minimum bachelor's degree in Statistics, Computer Science, Mathematics, or a related discipline Minimum 7 years' experience in variety of statistical analyses and techniques.
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Perform mathematics, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high-performance computing with the goal of extracting meaning from data and creating data product.
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This role requires the understanding of ESRI ArcGIS Pro Suite to include ESRI Spatial Database Engine (SDE), ArcGIS Enterprise (ArcGIS Online) system functionality, development of data strategies for exploiting datasets, data management, data integration methods, determination of data effectiveness, aid in the conceptual design of data pipelines, integration of data sources, data models, and other commercial data services to include rest services.
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mathematics statistical jobs in Alexandria, VA
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