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Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
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Present data findings and recommendations to clients and stakeholders using your knowledge of databases, business intelligence tools, including Qlik and Tableau, scripting languages such as SQL, Python, and R, and the Microsoft Office Suite.
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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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Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software) Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems.
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Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Must have 1 of the following: Python, R, SAS, Python, Java/C# or Scala.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Strong knowledge of programming languages (e.g., Python, JavaScript, SQL, Pig, or R), Elasticsearch, spatial analysis tools and concepts, data mining methods, database structures, and analytic information extraction and visualization.
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
$102,900 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R. Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem.
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5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining. Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining with Python or R. 5+ years of experience with developing algorithms and building data functions with R or Python.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with database systems, SQL queries, and programming languages, including R or Python. 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.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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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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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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