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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
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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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Working knowledge of statistics; R, Python, or other statistical tools. The ideal candidate will be expected to work collaboratively and cross-functionally with Process Development, R&D, Formulation Development, QC, and other technical groups by providing analytical testing support.
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Strong survey and quantitative skills, with a passion to understand the “why” behind user behaviorExperienced in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C.
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As a Metrology Process Development Engineer in Micron’s Technology Development group (Fab 4) at Boise, you are responsible for developing new metrology applications and recipes, analyzing the results from measurements, and implementing groundbreaking solutions into our R&D pilot line manufacturing environment.
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Proficiency in R or Python for Proteomics and Metabolomics data analysis. Perform LC-MS and other mass spectrometry analyses to generate quantitative proteomics and metabolomics data. is an independent nonprofit research institute that brings together three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - into a single collaborative technology and discovery engine.
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Common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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MS, Azure PostgreSQL, Python, R Programming Language, Spring Framework, SQL, YAML. Strong proficiency in Java Stack programming with expertise in the Spring Boot framework, Apache / Tomcat, Apache Maven, Apache Spark, API Concepts and Methodologies, API Security, Camunda, Cloud Automation, Cloud Computing, Cybersecurity, Data Engineering, Database Design (Physical), DevOps, Java and Related Technology, JavaScript, Linux.
$118,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Skilled with programming languages such as Python, R, SQL, SAS, STATA. Proficiency in programming languages such as Python, R, SQL, SAS, STATA, etc. Skilled with programming languages such as Python, R, SQL, SAS, STATA.
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Experience in R, Python or similar applicable programming languages, with some experience utilizing Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques. Hands-on experience with electrical CAD tools (Altium, Solidworks Electrical, Siemens NX, AutoCAD, Creo Schematics, OrCAD, etc.
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Visual Basic, Java, JavaScript, R, Python, SQL. Strong knowledge in RF simulation: HFSS, CST, ADS, AWR, Sonnet Rings, Ansoft, Comsol, EZNEC, Transform technology into opportunity as a RF Engineering SME with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most.
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Knowledgeable in SQL, R, and Python, along with visualisation tools such as Tableau, Looker or QuickSight. Our technology powers creative decision-making at some of the biggest brands in the world, including Google, Unilever, Pepsi, Bayer, Mondelez, Heineken, and more.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficiency in Python, R, or MATLAB is a plus. In-depth knowledge of options risk management techniques, including volatility modeling, Greeks (Delta, Gamma, Theta, Vega), stress testing, and scenario analysis.
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Strong proficiency in programming (SQL, Python, R, MATLAB), database technologies (Oracle, mySQL), machine learning/deep learning, and dimensionality reduction techniques (PCA). Experience with programming and/or other technologies (SQL, Python, R, MATLAB, etc.
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