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Knowledge of model building and/or validation (using SAS, R, Python, Matlab, etc. The Model Risk Analyst role contributes to the overall quality of risk management across the Bank by collaborating with Corporate Risk Management directors, senior leaders, business unit managers, and model owners for the purpose of ensuring model development, model implementation, and model monitoring, conforming to the standards set forth by both the Bank’s Model Risk Management Framework and the provided regulatory guidelines.
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Proficient in programming languages: Python, R, MATLAB. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio.
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Proficiency in business intelligence / analytics tools, such as MicroStrategy, Tableau, Looker, R, Python, Dataiku, etc. Pull, organize, and analyze relevant data from multiple sources, using tools such as MicroStrategy and Tableau, and programming languages such as SQL and Python.
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Must have two years' programming experience in at least two of the following: R, Python, SQL. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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2 years Knowledge of one of the following: Basic understanding of statistical/econometric analysis software, Python, SAS, R, MS Access, VBA, SQL/Windows command line interfaces and databases such as MySQL or MS SQLServer, and an interest in gaining skills in scripting.
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Intermediate understanding of SQL and/or some knowledge of a scripting/compiled/statistical programming language (e.g. Python, R,. This role will report to the Sr. Team Lead, Inventory and Demand Planning and resides in Chick-fil-A Supply LLC.
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Seeking a highly experienced Technical Lead /R Shiny Developer with 9-12 years of experience in R Shiny, R Studio and Python. Stay Current : Stay updated on the latest trends and best practices in R Shiny development and data visualization to continuously improve our applications.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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Experience with manufacturing software support such as C#, SQL, Network Architecture, Python or R, Oracle or SQL Server, Web Development (ASP.NET), SAP, and OPC Standards, Knowledge of software configuration management and change management practices.
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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.
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Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc. For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability.
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Create, Modify and deploying code libraries, accelerators (GitHub) programming languages such as Python, R. Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc.
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Experience performing complex data analysis using various data analytics tools (i.e., Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). Experience performing complex data analysis using various data analytics tools (i.e., Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics.
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