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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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Primary Responsibilities/Accountabilities:Collaborate effectively with cross-disciplinary teams across machine learning, computational materials and chemical sciences, and software engineering.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Contribute to the continuous improvement of in-house machine learning pipelines and tools for data annotation, model training, and performance monitoring. and deep learning libraries (TensorFlow, PyTorch) along with experience using simulation and visualization tools.
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Machine learning data set design or optimization. We are currently seeking a Battery Engineer/Scientist for our Data Sciences Practice in our Natick, MA office. Responsibilities include applying this experience to tackle challenging battery electrochemistry and data analysis problems for our clients.
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Big Data Informatics: clinical and research data warehouses and datamarts, data wrangling, visualization, analytics, ontologies, online digital data capture/mining/modeling, data exchanges and linkage, data security.
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This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.
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Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.) Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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machine learning data mining software engineering visualization jobs Company: David Weekley Homes
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