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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Design, develop, and test ML applications using Python, Linux, Docker.
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Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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Uses relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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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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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience building ML/NLP models in Azure Databricks and RStudio.
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We are looking for Data Scientist with a good grasp of some or all of the following (full training will be provided to fill any gaps in your skill set): Python, R, Data Science, Machine Learning, Artificial Intelligence, PyTorch, TensorFlow, Scikit-learn, Pandas, Identity Providers, oAuth2, Tableau, SQL, MS SQL Server, PostgreSQL, Spacy, NLTK, FlairNLP, Fast API, Django/REST Framework, REST APIs, RDF/XML, JSON-LD, IIIF, UI/UX and DevOps.
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Lead and execute with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files. Professional programming skills with SAS and SQL. R and/or Python programming experience is plus.
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Working with the following statistical software packages: SAS, R, Python or MATLAB. and NJOY. Altria complements its tobacco portfolio with equity investments in Anheuser-Busch InBev and Cronos Group.
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Skills in programming/scripting languages, such as Python, R programming, and Matlab, or similar. , R programming, Matlab, NCAR command language, and/or numerical/visualization tools.
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8+ years of experience with Data Analytics Languages (e.g., SQL, SAS, Python, R) and Tools (e.g., Tableau, Workday Prism, SAP Analytics Cloud, Visier, One Model, Microsoft PowerBI or similar.
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Proficiency in programming languages such as Python, R, or Perl, with experience in developing bioinformatics pipelines and scripts. Develop and implement bioinformatics pipelines for the processing, analysis, and interpretation of next-generation sequencing (NGS) data.
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Familiarity with geophysical computation, evaluation and modeling tools such as MATLAB, Python, Octave, R project, SAC, GMT, Computer Programs in Seismology (CPS), SPECFEM, Coda Calibration Tool (CCT), GeoTess, and Moment Tensor software.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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5+ years experience using R, Python, or Stata for descriptive and econometric analysis of micro-data. 5+ years experience using PowerPoint, R, ArcGIS/QGIS (or other geospatial data platforms), Python, machine learning, or other software skills.
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