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Desired Experience and Traits: Experience working with relational and big data database technologies (Databricks, Microsoft Azure). MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.
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The student will implement Python and other programming languages (e.g., MATLAB, R) to prepare and analyze data generated from several characterization techniques, such as differential scanning calorimetry (DSC), thermomechanical analysis (TMA), dynamic mechanical analysis (DMA), and mechanical testing.
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A minimum of three (3) years of experience using R programming language (Python is a plus) We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.) Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc.
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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization:Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
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The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
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QualificationsTechnical: 3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning)Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Experience with data visualizations tools like SSRS, PowerBI & Tableau. In addition to application delivery, DAS offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development.
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As used in this posting, Deloitte means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
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Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica)Familiarity with Analytical Workbenches such as R/Python, Alteryx, Dataiku, KNIME, AWS Sagemaker etc.
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Database programming - PL/SQL and similar onesApplication of Data science for energy/electricity forecastingExperience in architecting Python, R , mongo db, oracle db based forecasting solution hosted in cloud.
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Structure ambiguous problems, formulate hypotheses, gather and analyze data, and provide clear recommendations using tools such as BigQuery, Microsoft Power BI, Excel, R, PythonBuild scalable and complex supply chain models and processes to optimize supply chain.
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Experience with developing / overseeing development of analytical dashboards using a variety of tools/packages, e.g. Tableau, Python, R, Alteryx, Powerapps, UI Path etc. Master's degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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In collaboration with data curators, science subject librarians, and the staff of the Data, Research, Exploration, Access, Methods (DREAM) Lab, the Earth and Environmental Sciences Research Facilitator will create and implement the Library's support plan for researchers in the Earth and Environmental Sciences.
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big data science a plus r python jobs Company: Endeavor
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