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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Experience with programming languages (SQL, R, Python), front end design languages (HTML, CSS, JavaScript), developer packages such as Jupyter Notebooks. · 3 years of experience with Esri ArcGIS desktop and enterprise products, knowledge of GIS data types, GPS collection, relational database management systems (RDBMS), spatial analysis, and cartography.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Some backend Rest API (and possibly GraphQL) endpoint (run in containers OR exposed via API Gateway) development will be required to provide data access and process management functionalities using either Python or C.
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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.
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Required 3 Years · Experience with deployment and management of data science tools and modules such as JupyterHub. Required 3 Years · Experience with ETL, data processing, analytics using languages such as Python, Java or R. Required 3 Years · Databricks Certified Data Engineer Professional · Experience with Cloudera Data Platform.
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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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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, 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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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Look for a Sr Data Engineer with Adobe Analytics or AEP(Adobe Experience Platform) platform experience. Title: Sr Data Engineer. Key Skills: AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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SAS, SPSS, Stata, R, Python) is preferred. BRG’s Forensic Accounting & Valuation expertsare adept at translating complex financial transactions and numerical data into terms that a layperson can understand and interpret in a legal setting.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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remote data r python jobs Title: data engineer in Washington, DC
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