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Data mining/programming tools (e.g. SAS, SQL, R, Python) The Lead (Senior) Data Engineer will report to the Marketing Technology (MarTech) team and will support the development of the customer centric strategy to increase automation and the use of data and analytics throughout the customer journeys.
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Must Have skills: MDM, Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Data Modeling, Snowflake, Databricks.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) 6+ years' experience in data architecture, data management, or data engineering. Advisory Risk Data Management Technical Manager - Banking.
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, @Risk, Tableau.
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Must have a thorough understanding and proficiency with multiple of the following tools: Python; R; R Shiny; Advanced Framework for Simulation, Integration, & Modeling (AFSIM); STORM; Extensible Architecture for the Analysis and Generation of Linked Simulation (EAAGLES); Excel; Visual Basic (Excel Macros); MATLAB; or other mission/operational analysis tools and/or data analysis tools.
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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 data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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Candidates must be proficient in GIS and R or Python, with quantitative skills in remote sensing and/or experience working with large climatic data sets preferred. The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
$5,546.67 - $9,034.13 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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R/n/r/nATW provides business management consulting with relation to strategy, financing, marketing, personnel and sale matters for/r/n manufacturers and distributors of trailers, and;/r/n providers of logistic and other services related to trailers, and;/r/n manufacturers and distributors of parts and components for trailers,/r/nespecially regarding dump trailers, cargo trailers, tilt trailers, utility trailers, car hauler trailers, equipment trailers, and deckover trailers.
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Required Qualifications Active TS/SCI Clearance #qinetiqclearedjobProficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.3+ years of relevant experiencewith a bachelor’s degree.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Our team is looking for a Transportation Data Analyst to support data analysis using various data analysis platforms (e.g., Python, R, Microsoft Excel, Databricks, ArcGIS, and PowerBI.
$59,837 - $101,722 a yearFull-timeExpandApply NowActive JobUpdated Today
data management r python jobs Title: analytics Company: Experity in Holdrege, Nebraska
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