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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Use PowerBI, Tableau, Excel, Snowflake, statistical computer languages (R, Python, SQL, etc.) Advanced skills in statistical computer languages (R, Python, SQL, etc.) , ServiceNow, Splunk, and other analytics and visualization tools.
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The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Guy Carpenter has an opening in the Global Analytics Platforms team for an exciting role creating prototypes for new applications and approaches; reusable and scalable micro-services; building proof of concept applications; interacting with our development partners; and using Python skills to advance our analytics data strategy.
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Extensive experience with bid date and tools such as Excel, SQL, ArcGIS, R, and Python - Experience with commercial data systems such as Accurint, Talx, USPS Address Forwarding is a plus - Background in project management or fraud investigations is a plus.
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Proficiency in Python, R, SQL and machine learning frameworks such as TensorFlow, PyTorch, or similar. We seek a Data Scientist to work closely with our Director of Applied AI to develop and implement advanced data analytics and machine learning solutions to support the firm’s strategic goals.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Strong working knowledge of deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training, machine learning, and statistics. Experience coding in Python, R, Matlab, Java or other modern programming language.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area.
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Key Responsibilities: Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis.
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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machine learning analytics r python modeling jobs Company: Inc in New York, NY
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