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Cloud (Azure) – Experience in Databricks/PySpark and distributed databases like SnowflakeData Visualization tools and/or toolkits like Power BI, Streamlit etcSome familiarity with Deep learning frameworks like PyTorch, TensorFlow EEO StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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The Sr. Director will develop and execute data-driven strategies, processes, and plans, to grow Iona University's alumni donor base and pipeline through a donor-centered approach to annual giving.
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Provide in-home 1:1 ABA services to individuals diagnosed with Autism Spectrum Disorder (ASD)· Use behavior-analytic strategies to increase functional behaviors and decrease behaviors that may impede learning, safety or social opportunities, by following patients’ treatment plan· Collect and submit data on an electronic data system.
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Nice to have skills (but not essential):Experience developing in Rust,Familiarity with medical imaging file formats such as DICOM or WSI,Experience with machine learning and MLOps,Familiarity with git, GitHub, and GitHub Actions CI/CD workflows,Familiarity with containerized deployments and microservices architecture, andExperience with infrastructure-as-code technologies such as terraform.
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We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. Experience with AI, machine learning, and research is a big plus.
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Responsible for development and ongoing operation for data science, advanced analytics, machine learning. Provide leadership to leverage solutions related to data science, machine learning, and other analytical techniques to improve product features and capabilities.
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Leverage artificial intelligence and machine learning technologies to enhance marketing strategies, optimize customer engagement, and drive data-driven decision-making. Monitor and analyze campaign performance, making data-driven adjustments to maximize global impact.
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VP is responsible for ongoing strategic advancement of the company s data science capabilities. C2C is not allowed) The VP of Data Science must come from a technical background and have past experience building high performing data platform and science teams.
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Build and lead a high-performing team of data scientists. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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C2C is not allowed)Job Description:The VP of Data Science must come from a technical background and have past experience building high performing data platform and science teams. Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Responsibilities include development and ongoing operation for data science, advanced analytics, and machine learning. Responsible for ongoing strategic advancement of the company’s data science capabilities.
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Job OverviewSpecialized Area: Data ScienceJob Title: Vice President of Data ScienceLocation: Harrison, NYDuration: 12 MonthsEmployment Type: W-2 (Consultant must be on our company payroll.
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Responsibilities:Responsible for development and ongoing operation for data science, advanced analytics, machine learning. Responsibilities:Responsible for development and ongoing operation for data science, advanced analytics, machine learning.
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Responsible for development and ongoing operation for data science, advanced analytics, and machine learning. Responsible for development and ongoing operation for data science, advanced analytics, and machine learning.
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As an AI Machine Learning Engineer (m/f/d), you are the link between data science and software engineering. First professional experience in the AI environment, data science, machine learning, and cloud infrastructure.
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data learning jobs in Harrison, NY
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