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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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We need an experienced data scientist to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyperparameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set.
$108,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Methods vary widely but include applied mathematics, deep learning, machine learning, probability modeling, Bayesian reasoning, quantum computing, spatial statistics, spatio-temporal modeling, decision support, and data mining.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. We look for Data Scientists who are passionate about building and deploying machine learning models, have experience with the full stack end-to-end AI lifecycle, exposure to Generative AI and Large Language Models, and are great communicators.
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We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities. As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable.
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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's degree in relevant field such as Operations Research, Data Science, Applied Mathematics/Statistics, Business Management or Human Resources Management CAN BE substituted for 4 years experienceWhat We Can Offer You- We’ve been named a Best Place to Work by the Washington Post.- Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
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For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. 2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks.
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Utilize: Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL). One (1) year of experience must include utilizing Machine Learning, Data Science, Python, Data Engineering, Software Engineering, Structured Query Language (SQL.
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Research, prototype and deploy data products using the modernized platform that will integrate the latest advances in data engineering, visualization, Artificial Intelligence and Machine Learning.
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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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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data mining deep applied mathematics scientist jobs Company: Icf Olson
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