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Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.) We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.
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Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages. Demonstrated problem-solving, analytical, and multitasking skills with a good understanding of clinical research, statistical programming and CDISC standards.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
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E.g. SQL, Python (including Matplotlib, Seaborn, Plotly, Bokeh), R (including Shiny), Javascript, Java/Scala, MATLAB, etc. Proficiency in any of the following technologies is valued: Python (including libraries such as Matplotlib, Seaborn, Plotly, Bokeh), JavaScript, Julia, Java/Scala, or R (including Shiny.
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Build predictive modeling and machine learning algorithms using Python, R and Jupyter Notebooks. Experience Requirement: 2 years of experience as a data scientist, data analyst, market risk analyst, financial analyst or related.
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SAS, R, python, shell scripting. Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
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Create deep learning models using TensorFlow. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com.
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Advanced knowledge of scripting tools for automation such as R, Python, Alteryx, etc. Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages.
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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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This will involve working with programming languages like PySpark, Python, R, and SQL. There is also an opportunity to learn and work with cloud-based technologies like AWS, Snowflake, Dataiku, and more.
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Experience in Data Analysis using various tools such as SQL, SAS, R, Python. Experience in Azure cloud with Data Lake, Synapse database, Azure Data Factory and Databricks. Experience in Data Analysis using various tools such as SQL, SAS, R, Python.
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Familiarity with R or Python for predictive modeling. Proficiency in statistical programs such as R, SAS, MATLAB, or Python. Strong knowledge of R or Python for data analysis and modeling.
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Exposure to or experience in Node and Python scripting will also be valuable. Their R&D focused team is looking for a frontend software engineer to help build out a new project. In searching for their ideal candidate, they’re looking for someone who’s an expert with React 18 and TypeScript.
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Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C. Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C. BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or another quantitative field is preferred.
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Python, R, Java, Scala, C. 100% Remote; Must be on camera most of the time. Python, R, Java, Scala, C. Clinical Biostatistician II. Role: Clinical Statistician II - C. Location: Abbott Park, IL - 60064 (Remote.
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