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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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Your expertise in data visualization, statistical analysis, and proficiency in web development technologies will contribute to the success of our data-driven initiatives. Experience with front-end frameworks/libraries such as React, Angular, or Vue.js to enhance interactive data visualizations.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Manage the design, conduct, interpretation and reporting of biomarker data/activities for pipeline assets in line with the development, regulatory and commercial strategies.
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Lead the global growth strategy and adoption to Baxter’s unified connectivity platform data visualization solution in collaboration with division product management and global marketing regions.
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Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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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 suitesDemonstrated experience in the analysis and visualization of large datasets.
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Position required skills: Position requires 4 years of experience in the following: Advanced Microsoft Office skills including spreadsheet creation and documentation in Excel; Visual collaboration using MIRO and LeanIX; Project management using JIRA, Loop Component, and Service Now; Data visualization using Tableau and Power BI; Business process decision making and documentation using IBM BlueWorks Live.
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Setup data processing workflow leveraging Azure Databricks, Unity Catalog, Auto-Loader, in Apache Spark notebooks using python or SQL languages. Build data governance framework including data cataloging, access management, data auditing and data lineage supporting security and privacy compliance requirements for the data platform containing Protected Health Information (PHI.
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Alternately, will accept Bachelor’s degree in Management Information Systems, Computer Science & Engineering, or a related field and 3 years of experience in the job offered or as a Data Strategy Analyst, Statistical Programmer, Decision Support Analyst, or a related occupation.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Data Factory, Azure Databricks and other Azure big data technologies.
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The ideal candidate will possess a strong background in financial and CRM systems, financial analysis, business transformation initiatives and dashboard reporting, with proficiency in utilizing advanced analytical tools such as Power BI, SQL and have superior excel data modeling and visualization skills.
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Preferred Qualifications If we had our say, we’d also look for: 6 + years of experience in a People Analytics/Data Science role Master’s degree in industrial/organizational psychology , Data Analytics, or Statistics 3 + years of experience as People Analytics Insights partner, consulting background is a plus.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. The analyst will also manage any changes needed and to audit any master data issues that arise.
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Master's degree in industrial/organizational psychology, Data Analytics, or Statistics. 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related.
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The candidate should be familiar with developing and improving data analysis workflows on large genetic data, and contemporary data visualization methods. We are seeking a highly motivated and experienced data scientist to join the Bioinformatics team within the Genomics Research Center (GRC.
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data visualization jobs Title: data analyst Company: Perficient in Mettawa, IL
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