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Recruitment/Posting Title Sr. Scientist RC (Biomedical - Clinical Informatics Data Science -Data Engineer) Rutgers, The State University of New Jersey, is seeking a Sr. Scientist RC (Biomedical - Clinical Informatics Data Science -Data Engineer) for the Office of Advanced Research Computing (OARC.
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The Data Scientist, Machine Learning Engineer will also be responsible for continuously monitoring model performance, making adjustments as needed to improve accuracy and efficiency.
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Sr. Data Scientist, Machine Learning Engineer. Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Minimum 5 years' experience in data science, with experience in predictive modeling and unsupervised machine learning. Experience deploying data/code to cloud computing platforms (such as AWS, Azure, Google Cloud) and their data analytics services preferred.
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As a Sr. Engineer in Cybersecurity , you will lead efforts on the team in the areas of applying statistical and advanced analytics combined with cybersecurity knowledge to surface trends, reveal detection and capability gaps, and solve a wide range of challenges to create real security value from all the cybersecurity operations telemetry data.
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As a member of the Data Science team, the Senior Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to build robust classification and prediction models geared toward diabetes management products using advanced artificial intelligence, machine learning algorithms, and/or physiological modeling.
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As a Data Scientist specializing in Cognitive AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), you will be responsible for developing and implementing advanced applications, models, and algorithms to extract insights from complex data sets.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Qualifications The ideal candidate will have a B.S. degree in a related field and 7 years professional experience OR a total of 12 plus years' experience as Data Engineer, Software Engineer, Data Scientist, or equivalent.
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Experience with Cloud Based Data Science, Machine Learning, and Cognitive AI tools and services. Mentor junior team members and provide guidance on best practices in data science and machine learning.
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While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!
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Role: Sr. Machine Learning-Data Scientist. As a Data Scientist you will be working in one of the most complex data environments in healthcare. 2+ years working with open-source Big Data technology stacks (Apache Nifi, Spark, Kafka, HBase, Hadoop/HDFS, Hive, Drill, Pig, etc.
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Assist and work collaboratively with Data Scientist and Data Architect to implement machine learning pipelines to automate the workflows to produce ML models. Assist in research, evaluation, testing, and recommendation of cloud native Big Data, Data Lake, Data Warehouse, and Analytics tools, software, services, and facilities that aligns with future architecture and AI/Data Strategy.
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4+ years of experience as a Machine Learning Engineer or Data Scientist. Master's Degree in Computer Science/Engineering required, data science concentration is a plus; PhD is preferred.
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The Sr. Data Scientist, Partner Engineering, will be the company’s subject matter expert on the SAP platform and its integration with DataRobot for AI-based applications. This includes familiarity with data extraction from Line of Business systems like Ariba and IBP, manipulation of data for AI in DataSphere/HANA, and creation of front-end applications in tools such as (but not limited or exclusive to) Fiori.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. Design and oversee the deployment of real-time analytics dashboards and reporting tools to monitor production metrics and KPIs. Lead initiatives to integrate new data sources.
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data scientist jobs Title: data engineer sr in Pelham, New Hampshire
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