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Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
$79 - $80Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in scripting and programming languages (Arcade, Python, R, SQL, Java/React. Demonstrated expertise in programming languages common to GIS (Python, JavaScript, or C#) Complementary GIS developer skills in addition to the core GIS analyst abilities.
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High Level of digital literacy, ability to work efficiently with MATLAB, Excel (VBA), SQL, R, Python or C. The Associate Director, Senior Quantitative Analyst is a critical member of the model validation team within the Model Risk Management (MRM) Responsibilities range in activities including risk governance and reporting, model inventory, model validation and model performance oversight.
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Experience with study design and equipment, research techniques (Discrete Choice, BASES, Conjoint, and/or Max Diff/Kano), and data analysis tools (Tableau, Shiny, R, Python, MATLAB, JMP, IBM SPSS preferred.
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Programing skills (Python, R, SQL, LaTeX) GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals.
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Knowledge of data/analytical tools - Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
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Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint) At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company.
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Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry. For a financial client we need Python Developer (machine learning/AI). The Senior Python Developer is responsible for designing and developing AI/Machine Learning models and enhance accuracy of models.
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Using Python, R, and SQL. Develops new models and products to enable organizational advantages in the marketplace, using statistics, econometrics, and quantitative techniques or methods.
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Knowledge of data/analytical tools - Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, and other analytics/data science tools.
Up to $76.92 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands on experience with programming (preferably Matlab/Python/R and SQL) Assisting Portfolio Managers in the Multi-Asset team with implementation and execution of all dimensions of the investment process, including daily cash flow management, portfolio optimization, and ad-hoc investment research projects.
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Experience with advanced analytics tools and techniques, such as Python, R, SQL, machine learning, and predictive modeling. Experience with advanced analytics tools and techniques, such as Python, R, SQL, machine learning, and predictive modeling.
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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
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