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As a Senior Programmer/Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level for R, proficiency with SAS is also desired) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools.
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Managing and directing on-shore and off-shore resources to organize and profile large data sets to develop risk models.
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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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develops advanced methods, processes, algorithms, tools (e.g., Python, R, MATLAB, Tableau) to extract meaning from data, with a focus on bioinformatics. Contributes to and validates writing code in programming languages (e.g., R, Python) to create data visualizations, including interactive dashboards, charts, and graphs, with a focus on bioinformatics.
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Proficiency 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.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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8+ years of experience as a Data scientist using Python/R/Spark. As a Data Science Engineer, you will play a pivotal role in implementing, optimizing, and benchmarking our machine learning models on the platform.
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Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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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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We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in SQL, Python, and extensive hands-on experience with Azure Databricks and Azure Cloud services.
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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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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
hands on python data sas r jobs Title: senior data engineer in Columbia, Missouri
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