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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. 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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Programming languages may include-but are not limited to-Python, R, SQL, Java, SAS, and MATLAB. Doctorate degree (or Master's degree with 3 years relevant work experience) in quantitative finance, economics, statistics or a related quantitative field.
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Reasonable familiarity with some statistical tools (SAS, R, Python) and data analytic/visualization tools such as SQL, Tableau, Excel and PowerPoint. Bachelor’s Degree in a quantitative subject, such as Econometrics, Mathematics, Operations Research, Statistics, Economics or Finance.
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Experience working with enterprise data warehouse, enterprise reporting systems, and analytics systems/tools, such as OBIEE, SAS, Databricks, Tableau, Microsoft SQL Server, etc. ; with languages such as SQL, R, SAS, Python, JAVA, etc.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working in a distributed computing environment; Hive, Impala or Apache Spark; Data extraction and manipulation using SQL; Connecting Tableau or Shiny reports to Hadoop back end; and- JavaScript visualization libraries including D3.
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Experience with NumPy, scikit-learn, keras, PyTorch, Tensorflow, Pandas, SymPy, SPSS, PSPP, SymPy, SAS, JMP. LinQuest is seeking an Operations Research Analyst with a background in data science, mathematics, statistics, operations research, or data analytics to join our team in Washington, DC. US citizenship and an active Top Secret / SCI clearance is required.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
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R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning. Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Data Science, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience.
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Expertise 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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Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark. Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field.
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Strong experience in Base SAS, SAS/STAT, SAS Macro language and SAS SQL; SAS/GRAPH a plus. 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.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum of three years of hands-on programming experience using Python & SQL - Preference for SAS. Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R.
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Conduct empirical analysis and writes computer programs and code based on mathematical principles, using sophisticated statistical software tools such as SAS or STATA, other quantitative analysis tools such as ArcGIS, programming languages such as SQL Javascript, R, or Python.
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Six or more years of experience designing, developing, implementing, and managing research databases using SQL and SAS, R or Python programming. Master's in Public Health, Statistics, Biostatistics, Epidemiology, Applied Mathematics, or Bioinformatics.
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