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If applicable)Years of experience: At least 10 years of experience in business intelligence, data integration, and AI/machine learning, with substantial experience in leadership and cross-functional strategic initiatives.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
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Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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Basic Qualifications: A Ph. D. in Materials Science, Chemistry, or related disciplines with a strong focus on machine learning applications to domain science A record of excellence in battery research and development as evidenced through peer-reviewed journal articles and/or issued patents.
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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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The role will concentrate on machine learning research, production, deployment involving data, databases, displays, stack management, Kubernetes, large-scale infrastructure, and experiment management.
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4+ years of data analytics in the field of Business Intelligence or Information Management. Play a key role in building out the Business Intelligence team’s technical capabilities and BI data assets, incorporating entitlements, Tableau, and Snowflake.
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Develop end-to-end artificial intelligence and machine learning solutions including data processing, feature & model development and production deployment with agility and scale.
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We are the leader when it comes to software for trucking dispatch operations management, freight brokerage management, fleet management, document imaging, workflow, EDI, and business process automation solutions for trucking, freight brokerage, third party logistics, and shipper companies in the United States.
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Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
business intelligence data management machine learning jobs Title: data developer
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