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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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From employing predictive analytics with your proficiency in software like R or Python to applying advanced psychological theories in criminal profiling with your depth of knowledge in psychology, your unique skills are essential.
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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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3+ years of experience with SQL, R, Python, Alteryx, Java, or other analytic / development platforms. 3+ years of experience with SQL, R, Python, Alteryx, Java, or other analytic / development platforms.
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5 years’ experience in management and leading projects with a supervisory roleCertificates in SAS, data science, or equivalent continuing educationEvidence of peer-reviewed publicationsEvidence of competitive extramural fundingExperience in R statistical programming and /or Python analytic language.
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Proficiency in using one or more programming or scripting languages to work with data such as: Python, Perl, R, or C#. Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
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Leverage statistical analysis, machine learning, and data mining techniques to extract insights from data and drive data-driven decision making. Engineering experience using large data systems on SQL, Hadoop, etc.
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Experience with Python, R, PySpark, Sharepoint, Tableau, databricks, SQL, data lakes and system architecture planning. Experience with a tech stack that includes, Workday, Adaptive Insights, OneStream, and other point solutions.
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Advanced understanding of data science and visualization tools (Python, R, SQL) Advanced understanding of data science and visualization tools (Python, R, SQL) The Financial Planning & Analysis (FP&A) organization supports our business, market and enabling area leaders by providing world class financial support.
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Data Analysis and visualization tools (R, Python, SQL, SAAS, SharePoint, PowerBI) The Senior IT Auditor will support the Director of IT Audit by performing Internal Audit activities to provide assurance on the adequacy and effectiveness of the IT internal control environment, IT risk management framework, compliance with IT policies and procedures, and IT regulatory requirements.
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High Level Programming in Data Engineering, Data Science, or Machine Learning (Python, Scala, Java, R, SAS for Data Science, etc). Experience with the development of data science, machine learning, and/or advanced analytics implementations or the use of programming languages in Python, Java, R, Scala, SAS, or other analytical language to create predictive and/or prescriptive models.
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Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Advanced programming experience in language of your choice (Scala/Python/R preferred) Scala/Jupyter/Spark – using Apache Spark to tackle distributed programming in Scala and Python.
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This includes expertise in tools such as SQL, Python, R, Tableau, or other relevant software used for data analysis and visualization. This includes expertise in tools such as SQL, Python, R, Tableau, or other relevant software used for data analysis and visualization.
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Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data.
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