| Lead Data scientist (Machine Learning, Azure) , Seattle, WA, at Seattle, Washington, USA |
| Email: [email protected] |
| Hi , Title: Lead Data scientist (Machine Learning) Location : Seattle, WA Mandatory Skill : Azure cloud , AI/ML Job Description: We are seeking a talented Senior Data Scientist to join our team. The ideal candidate will have a deep understanding of statistical modeling and machine learning techniques, as well as experience in data analysis and visualization using Azure, Azure Machine Learning, and Azure data science technologies. In this role, you will work on a variety of projects, including predictive modeling, data mining, and natural language processing.Responsibilities:Develop statistical models and machine learning algorithms to analyze large datasets and extract insights using Azure Machine LearningCollaborate with cross-functional teams to identify business problems and develop solutions using Azure data science technologiesConduct data analysis and visualization to communicate findings to stakeholders using Power BI and other Azure toolsDesign and implement experiments to test hypotheses and improve model performance using Azure Machine LearningDevelop and maintain predictive models to support decision-making processes using Azure Machine LearningWork with engineering teams to deploy models into production environments using Azure technologiesStay current with industry trends and research in machine learning and data science, with a particular focus on Azure technologiesMentor junior data scientists and provide guidance on best practices for using Azure and other data science toolsRequirements:Master's or PhD in Computer Science, Statistics, Mathematics, or a related field5+ years of experience in data science or a related fieldStrong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networksExperience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse AnalyticsStrong communication skills and the ability to present complex data in a clear and concise manner, using tools such as Power BIExperience with big data technologies, such as Hadoop or Spark, is a plusStrong problem-solving skills and the ability to work independently or as part of a teamExperience in the industry domain is a plus, as is experience with Azure Machine Learning and other Azure technologiesIf you are a highly motivated, results-driven individual with a passion for data science and machine learning, particularly with Azure and other cloud-based technologies Keywords: artificial intelligence machine learning business intelligence rlang Washington Lead Data scientist (Machine Learning, Azure) , Seattle, WA, [email protected] |
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| Tue Aug 20 20:41:00 UTC 2024 |