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Utilize advanced analytics tools and platforms (e.g., SQL, Python, R, Tableau, BigQuery, AWS Bedrock, etc) for data processing and visualization at scale. Expert proficiency in SQL based data manipulation, analysis tools (e.g., Python, R), ETL processes, and data visualization platforms (e.g., Tableau, Power BI, BigQuery.
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The Director of Data Science will deal with all aspects of a project from knowing what’s important to the business, to data collection and analysis, and finally to data visualization and presentations to lines of business and the executive team.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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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.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work with actuarial and data science software and technologies including MG-ALFA, Axis, Prophet, Dataiku, R, and Tableau. Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Experience with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn.
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And employ data science techniques using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.) Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Proficiency in coding (R, Python, SQL), data libraries such as Numpy and Pandas and other industry standard AI/ML toolsets. Experience with developing / overseeing development of analytical dashboards using a variety of tools/packages, e.g. Tableau, Python, R, Alteryx, Powerapps, UI Path etc.
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Experience with data and modeling tools such as SQL, Python, R, AWS, GCP, Azure, and BI and visualization tools, such as Tableau. Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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Experience in developing proof of concept APIs/Applications utilizing Python or R frameworks (e.g., Dash, Streamlit, FastAPI, Flask, R Shiny, and Plumber) Knowledge and experience in multiple programming and domain-specific languages (we primarily use Python, R, SQL, and Linux/Unix scripting.
$138,674 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain. Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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RESPONSIBILITIES: Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain. Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc.
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data science python r jobs Company: Usaa in IN, Canada
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