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The ideal applicant should have a strong programming background (e.g., Python, R, SQL, SAS, and/or STATA) and the drive and enthusiasm to learn about clinical care by assisting in state-of-the-art patient-centered research.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Data science, machine learning, optimization models, PhD 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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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Design, develop, and test ML applications using Python, Linux, Docker.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. 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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In Quantitative and Computational Finance, Computer Science, Mathematics, Accounting, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing quantitative, statistical, or financial engineering models and software solutions using Python, R.
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Data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS, The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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Experience writing queries and developing data visualization tools for mining and synthesizing large datasets (e.g. Python, SQL, SAS, R, Power BI, etc.) Strong understanding of and ability to use programming languages (e.g. Python, SQL, SAS, R, Power BI, etc.
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In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis. Perform statistical analysis and data mining to create predictive systems.
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5+ years of experience working in the field of Data Engineering and Data Science. Significant experience as a Data Scientist or advanced analytical role. + Evaluate model performance by applying data science and math.
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End to end implementation experience in building analytical solutions using data visualization tools like Microsoft Power BI, TIBCO Spotfire, Python, R etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using Microsoft Power BI,TIBCO Spotfire, SQL, Python, R, JS,HTML etc.
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Programming languages may include-but are not limited to-Python, R, SQL, Java, SAS, and MATLAB. Rapid prototype, develop, and maintain (in Python / SQL / R) analytical toolkits and Business Intelligence Dashboards supporting the Pricing & Revenue Management and Fleet Management teams.
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Web application (R-Shiny, Python Flask) that you have industrialized. Programming languages: Python, R, SQL. We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption.
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Position Overview: We are seeking a talented and motivated Data Analyst to join our team in Tucson, AZ. The ideal candidate will have experience with Python, R programming, SQL scripting, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with Snowflake or similar data warehousing platforms is highly desirable.
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Proficiency in Aspen Hysys, Aspen Plus, COMSOL Multiphysics, and data analysis tools such as Python, R, MATLAB, or similar. Conduct complex data analyses and architectural modeling using tools like RISK, Python, R, or MATLAB to forecast performance and optimize system designs.
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innovation python r jobs Title: senior data engineer
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