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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization:Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
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Key skills required include extensive knowledge of machine learning algorithms, deep learning, statistical modeling, and proficiency in programming languages like Python, R, TensorFlow, and PyTorch.
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Databases; and programming in one or more of the following: Python, R, Spark, Matlab, Stata, C, Perl, or Java; AND. databases; and programming in Python with experience in one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND.
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Develop new or utilize existing technology to build dynamic web applications or software tools for bioinformatics applications using R, Shiny and/or Python. Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Partner with Evolent Care Partners (ECP’s) Growth team to evaluate new payors and providers; Support negotiation of value-based contracts with payors, providers, and vendorsLead quarterly compliance testing and accounting recommendations for dedicated Value Based Care (VBC) contracts.
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.) -Must have experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.
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Experience in data access tools, such as SAS, SQL, Python, and R. Accredited Healthcare Fraud Investigator ( AHFI ) , Health Care Anti-Fraud Asso cia te ( HCAFA ) , Certified Insurance Fraud Investigator ( CIFI ) , Certified Finan cia l Crimes Investigator ( CFCI ) , Certified Fraud Examiner ( CFE ) , Certified in Healthcare Compliance ( CHC ) , CPC, CEMA, or CPMA certifications.
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High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling. 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, SAS, or R. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
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Excet, a Precise Systems Company seeks a Battery Research Scientist who will work as a leading member of the technical team performing R&D activities in an advanced battery research group at a U.S. Navy laboratory.
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Will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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python r learning jobs Company: Square Peg Technologies in Washington, DC
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