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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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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.
$200Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledgeable in data preprocessing, feature selection, engineering, developing, evaluating, and improving machine learning models. - Expertise in physical engineering, database management, machine learning, and process control systems.
$33.65 - $57.69 an hourFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Statistical and machine learning techniques for analyzing financial data, including survival analysis, time series analysis, GLM, logistic regression, XGboost, LightGBM, Random Forest, Neural Networks, decision tree analysis, and cluster analyses.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Model documentation and/or model validation report writing; and Visualization techniques for summarizing complex financial data analyses; Econometric/statistical, machine learning, and other analytical modeling.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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2+ years of experience as a developer, data scientist or machine learning engineer. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
$172,000 - $303,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA) Some of the key areas that the Technical Program Manager will drive will include Infrastructure cost, service availability, observability of data pipelines and capacity planning.
$172,000 - $303,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BS/BA degree in an analytical field (Computer Science, Engineering, Science, Math, etc.) Working from one of our three West Coast locations, you'll utilize your technical expertise, engineering and program management skills to recognize issues and risks, provide expert solutions to tough problems, drive scheduled completion and ensure operational excellence.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer.
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Knowledge of data mining, machine learning, data visualization and statistical modeling. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning. Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
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machine learning data software engineering visualization jobs Company: Sheetz
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