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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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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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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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Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB. Proficiency in programming languages such as SAS, Python, SQL or Unix. Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field.
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Exposure to data analysis tools such as SAS, R, Python, Ruby, QlikView, Tibco Spotfire, and Tableau. Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPreferred qualification - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) - Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field.
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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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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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3 years practical work experience in data mining, conditioning, and analysis using tools like ESRI ArcGIS, MATLAB, SAS, SPSS Statistics, and/or Hive/Hadoop. 1 year practical work experience with database management systems like GeoDB, SQL, MS Access, MS Excel.
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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 Today - UpvoteDownvoteShare Job
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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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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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SAS SQL knowledge. Master's degree or higher in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research or related quantitative and analytics fields.
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Knowledge of Business Analytics software such as PowerBI, Access, SAS or R, and/or SQL Self-starter with the ability to work individually as well as part of a team. What You Will Need:-Completion of at least two actuarial exams, with intent and ability to progress to ASA or FSBachelor’s degree or higher in Actuarial Science, Economics, Finance, Insurance, Mathematics, Risk Management, Statistics, or similar -Must be a US Citizen-Travel up to 25%One year of work experience that includes the following:Analysis and summarization of data using spreadsheets.
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sas sql statistics jobs in Washington, DC
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