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Experience using desktop applications and software used for data/statistical analysis, manipulation and visualization including Tableau, Python, R, SAS, SQL, is a plus. Experience with data visualization tools and approaches (e.g., Tableau, Datorama, Google Data Studio) for reporting and dashboards.
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4+ years of experience with common data analysis tools including SAS, Python, SQL, or R. Knowledge of common data sources for health care provider data such as the Provider Enrollment, Chain, and Ownership System (PECOS), National Plan and Provider Enumeration System (NPPES) and National Provider Identifier (NPI) registry.
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Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana.
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Proficient with one or more ML/statistical languages (Python, R, SAS etc.) Sharecare is searching for a Data Scientist/Statistician who will support our product, delivery, sales, leadership and marketing teams with insights gained from analyzing company data.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
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Expertise in data analysis, statistical modeling, and machine learning techniques, with proficiency in Python, R, or other programming languages. Join our dynamic team at DGS, a cutting-edge data solutions company, for wireless networks, where innovation meets excellence in the realm of Radio Frequency (RF) awareness and environmental monitoring technologies.
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Familiarity with trade databases, statistical software (e.g., Stata, R, Python), and economic modeling tools (e.g., GTAP, Computable General Equilibrium models). As an International Trade Economist, you will be responsible for conducting research, analyzing data, and providing insights into various aspects of international trade.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADEMIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Experience with languages such as Python and R, and abilities identifying and implementing machine-learning (ML), robotic process automation (RPA), and artificial intelligence (AI). Experience with data governance, data quality, and regulatory compliance.
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The Payment Model Implementation Analytics Consultant 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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This could include developing additional methodologies for delineating Current Range (e.g. using spatially explicit habitat modelling) and delineation of a Consultation Notification Area or buffers Provide support for making programmatic effort to recode ranges from Field Office based ranges to one range per species Requirements: Software development experience with statistical software and packages, including machine learning frameworks in R and Python.
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Experience supporting database development anddata analytics using Python, R, SQL, XML, and similar tools. Experience with software data engineering using one or more data related languages such as Apache, Hadoop, Spark, Presto, NiFi, or similaris a plus.
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Proficiency in statistical analysis tools such as R, Python, or SAS. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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Experience with programming languages including: R, Python, Scala, Java. Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent. Further, effective “big data” solutions help CBP ensure the movement of people, capital, and products is legitimate, safe, and secure.
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Proficiency in one or more of the following: Tableau, PowerBI, Alteryx, Snowflake, SQL, Python, and/or R. Suggest ways to streamline data preparation and blending to support analytics.
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