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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development, and 10+ years of relevant experience.
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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As a Lead Data Scientist, with a Databricks focus, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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In partnership with Associate Vice President for School Development Lara Brown de Fuenmayor, the AVP will lead a team of 21 development and alumni relations professionals, including five direct reports who serve as the fundraising leads for the College of Engineering, Frederick S. Pardee School of Global Studies, Questrom School of Business, School of Law, and Wheelock College of Education & Human Development.
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Serve as the University’s representative to relevant non-partisan, non-profit organizations, and policy bodies, such as legislative, governor, and lieutenant governor associations, economic development groups, and related public-private partnership efforts.
$185,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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When not working on machine learning models, identify data; define metrics and analyze needs for business partners; initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods.
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Spearhead the development of novel machine learning algorithms and models for processing radar, RF signals, and video/image data, ensuring they meet real-time performance requirements.
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Knowledge of artificial intelligence and machine learning is preferred. Advanced knowledge of business tools and applications, including MS Office Suite, Visio, Azure DevOps, Salesforce, Copado, and Jira.
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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Collaborating with UX designers, researchers, developers, subject matter experts, natural language processing (NLP) analysts, and business partners.
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Databricks Machine Learning Associate or Machine Learning Professional Certification. Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
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We are looking to recruit at least one postdoctoral fellow at an intersection of microfluidics, image-based machine learning, and molecular biology. Candidates with a strong foundation in microfluidics, machine learning, and biology are desired.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The role involves extensive external communication with business, development, internal audit and regulators.
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